Case linkage in Australian serial stranger rape

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Serena Davidson ◽  
Wayne Petherick
Keyword(s):  
Roc Analysis ◽  
Area Under The Curve ◽  
Empirical Support ◽  
Theory And Practice ◽  
Operating Characteristics ◽  
Content Type ◽  
Sexual Crimes ◽  
Behavioural Consistency ◽  
Sexual Assault Case ◽  
Serial Rape

Purpose Case linkage theory and practice have received growing empirical support; however, they have yet to be examined fully within Australia. For sexual assault case linkage to be successful, it is assumed that a serial rapist will behave relatively consistently across offences yet distinctively compared to other offenders. The purpose of this paper is to test the underlying principles of case linkage, behavioural consistency and distinctiveness, as well as distinguishing accuracy. Design/methodology/approach In total, 250 solved stranger rapes by 171 offenders (46 serial rapists, 125 one-off rapists) were taken from Queensland Police Service (QPS) crime records. All possible crime pairings were created and cross-crime similarity was assessed using Jaccard’s coefficient. Receiver operating characteristics (ROC) analysis was used to examine the ability to distinguish between linked and unlinked offence pairs. Findings Serial linked pairs had the highest Jaccard’s coefficient (0.456), followed by non-serial unlinked (0.253) and finally, serial unlinked pairs (0.247). Within the ROC analysis, an area under the curve value was found of 0.913, indicating excellent distinguishing accuracy. Both the underlying principles of behavioural consistency and distinctiveness were supported through theoretical and practical methods. This paper provides the first analysis of serial rape case linkage in Australia, adding validity to this practice. Research limitations/implications The authors wish to acknowledge the support and assistance from the QPS in undertaking this research. The views expressed in this publication are not necessarily those of the QPS and any errors of omission or commission are the responsibility of the authors. Practical implications This paper provides validity to the practice of case linkage using a database within Australia. The results of this paper can be used to inform investigators of serial offender behaviours. The theories of offender consistency and distinctiveness are supported, highlighting the importance of behavioural evidence for practitioners. This paper provided a practical increase of the quantity and quality of offences uploaded on the Australian violent and sexual crimes database, which will assist further linkage efforts. Originality/value This paper is the first in Australia to examine consistency, distinctiveness and case linkage of serial stranger rape. Thus is contributes significantly not only to an increased understanding of serial rape and case linkage in Australia but also brings Australia closer to modern research practices in this field.

The joint impact of servant leadership and team-based HRM practices on team expediency: the mediating role of team reflexivity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shuang Ren ◽  
Zhining Wang ◽  
Ngan Thuy Collins
Keyword(s):  
Servant Leadership ◽  
Deviant Behavior ◽  
Empirical Support ◽  
Theory And Practice ◽  
Limited Attention ◽  
Content Type ◽  
Deviant Behaviors ◽  
Hrm Practices ◽  
Organizational Rules

PurposeThis study focuses on an emerging deviant behavior at the team level and investigates when and why the team level processes reduce team expedient behavior. Anchored on the input–process–outcome (I–P–O) theoretical framework for studying team effectiveness, it conceptualizes and tests a research model where servant leadership and team-based human resource management (HRM practices) serve as a team-level input that interacts to influence the process of team reflexivity and ultimately reduces team expedient behavior as the outcome.Design/methodology/approachData are from 109 teams involving a total of 584 employees and analyzed at the team level.FindingsThe findings provide empirical support that team-based HRM practices positively moderate the relationship between servant leadership and team reflexivity and that team reflexivity transforms the influence of servant leadership into reduced team expedient behavior. Implications for theory and practice are discussed.Research limitations/implicationsThe participants in this study were drawn from diverse backgrounds (n = 584), and they were nested within 109 teams. Therefore, the authors were cautious of making claims that the findings would apply to every team in the context of China. The authors acknowledge that the research design of this study is not the strongest to test for causal relationship.Practical implicationsThe findings show the synergistic role of servant leadership and team-based HRM practices and suggest organizations have both in place to mitigate deviant behaviors by teams. The study also suggests organizations develop and promote an environment where team members are motivated and encouraged to share their ideas, openly discuss experiences and set up forward plans.Social implicationsOrganizations should focus on training their leaders of the behaviors such as supporting followers, enhancing subordinates' commitment to the collective goal and emphasizing the equality between themselves and subordinates. Organizations need to increase their awareness that the teams are more likely to perform their tasks by the means prescribed by the organizational rules if they communicate, discuss and get modeling or feedback from other teams.Originality/valueThis study enriches research on team-based HRM practices, which so far have received limited attention, and deserves further investigation. It sharpens the underlying mechanism that translates team-level input of leadership and HRM to the desired outcomes of reduced expedient behavior by introducing the role of team reflexivity. The study adds to the growing research on workplace deviance by addressing team-level expedient behavior.

scholarly journals Fukuda Stepping Test: Sensitivity and Specificity

2009 ◽  
Vol 20 (05) ◽  
pp. 311-314 ◽  
Author(s):  
Julie A. Honaker ◽  
Thomas E. Boismier ◽  
Nathan P. Shepard ◽  
Neil T. Shepard
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Analysis ◽  
Screening Tool ◽  
Area Under The Curve ◽  
Future Research ◽  
Operating Characteristics ◽  
Caloric Irrigation ◽  
Test Sensitivity ◽  
Unilateral Weakness ◽  
Vestibular Asymmetry

Background: A vestibulospinal test known as the Fukuda stepping test (FST) has been suggested to be a measure of asymmetrical labyrinthine function. However, an extensive review of the performance of this test to identify a peripheral vestibular lesion has not been reported. Purpose: The purpose of this study was to evaluate the sensitivity and specificity of the standard FST and a head shaking variation for identification of a peripheral vestibular system lesion. Research Design: In this retrospective review, we compared performance on the FST with and without a head shaking component to electronystagmography (ENG) caloric irrigation unilateral weakness results. Study Sample: We studied these factors in 736 chronic dizzy patients. Results: Receiving operating characteristics (ROC) analysis and area under the curve (AUC) indicated no significant benefit to performance from the head shaking variation compared to the standard FST in identifying labyrinthine weakness as classified by caloric unilateral weakness results. Conclusions: These findings suggest that the FST with and without head shake component is not a reliable screening tool for peripheral vestibular asymmetry in chronic dizzy patients; however, future research may hold promise for the FST as a tool for patients with acute unilateral disorders.

PREDICTING SOFTWARE CHANGE IN AN OPEN SOURCE SOFTWARE USING MACHINE LEARNING ALGORITHMS

2013 ◽  
Vol 20 (06) ◽  
pp. 1350025
Author(s):  
RUCHIKA MALHOTRA ◽  
ANKITA JAIN BANSAL
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Open Source Software ◽  
Roc Analysis ◽  
Area Under The Curve ◽  
Machine Learning Algorithms ◽  
Operating Characteristics ◽  
Preventive Actions ◽  
Change Proneness ◽  
The Relationship

Due to various reasons such as ever increasing demands of the customer or change in the environment or detection of a bug, changes are incorporated in a software. This results in multiple versions or evolving nature of a software. Identification of parts of a software that are more prone to changes than others is one of the important activities. Identifying change prone classes will help developers to take focused and timely preventive actions on the classes of the software with similar characteristics in the future releases. In this paper, we have studied the relationship between various object oriented (OO) metrics and change proneness. We collected a set of OO metrics and change data of each class that appeared in two versions of an open source dataset, 'Java TreeView', i.e., version 1.1.6 and version 1.0.3. Besides this, we have also predicted various models that can be used to identify change prone classes, using machine learning and statistical techniques and then compared their performance. The results are analyzed using Area Under the Curve (AUC) obtained from Receiver Operating Characteristics (ROC) analysis. The results show that the models predicted using both machine learning and statistical methods demonstrate good performance in terms of predicting change prone classes. Based on the results, it is reasonable to claim that quality models have a significant relevance with OO metrics and hence can be used by researchers for early prediction of change prone classes.

scholarly journals Single Brain Metastasis vs Glioblastoma Multiforme: A Voi-Based Multiparametric Analysys for Differential Diagnosis

2021 ◽  
Author(s):  
Andrea Romano ◽  
Giulia Moltoni ◽  
Alessia Guarnera ◽  
Luca Pasquini ◽  
Alberto Di Napoli ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Roc Analysis ◽  
Area Under The Curve ◽  
Solid Component ◽  
Signal Recovery ◽  
Operating Characteristics ◽  
Cerebral Lesions ◽  
Perilesional Edema ◽  
Volume Of Interest ◽  
The Mean

Abstract PURPOSEThe authors purpose was to evaluate ADC and rCBV values in the enhanced lesion, in the peritumoral area and in distal oedema using a Volume of Interest (VOI) based method and to analysed hemodynamic curves obtained from DSC perfusion MRI, in order to create a valid multiparametric MRI model for the differential diagnosis between Glioblastoma and solitary Brain Metastasis.MATERIALS AND METHODSForty-one patients (twenty glioblastomas and twenty-one single brain metastases) were retrospectively evaluated. MRI images were acquired before surgery, radiotherapy and chemotherapy. MRIs were analysed with Olea Sphere® 3.0 (Olea Medical, La Ciotat, France), in particular with diffusion, perfusion and volume of interest segmentation plug-ins. FLAIR, 3D T1 MP-RAGE images after gadolinium, ADC and rCBV maps for each patient were co-registered by the OleaSphere software; this was followed by visual inspection to ensure adequate alignment. Volumes of interest (VOIs) of the lesions were drawn on enhanced 3D T1 MP-RAGE avoiding cyst or necrotic degeneration, and then projected on ADC and rCBV co-registered maps. Another 2 VOIs were drawn in the region of hyperintense cerebral oedema, surrounding the lesion (GB or BM) visible on FLAIR images. The first VOI was drawn into perilesional oedema within 5mm around the enhancing tumor. The second VOI was drawn into residual oedema. Both VOIs were projected on ADC and rCBV maps. Perfusion curves were obtained for each lesion and the value of signal recovery (SR) was reported. A Two sample T-Test was obtained to compare all parameters of GB and BM groups. Receiver operating characteristics (ROC) analysis was performed to determine the optimal parameter in distinguishing GB from BM. RESULTSComparing all parameters evaluated for patients with GB and BM, the cerebral lesions were distinguishable with the mean ADC VOI- values of solid component, the PSR values and the mean and max rCBV values in the perilesional edema within 5mm around the enhancing tumor. According to ROC analysis, the area under the curve was 88%, 78% and 74% respectively for mean ADC VOI-values of the solid component, the mean and max rCBV values in the perilesional edema and the PSR. The cumulative ROC curve of these parameters reached an area under the curve of 95% .Using perilesional max rCBV>1,37, PSR>75% and mean lesional ADC<1x10-3 mm2 s-1 GB could be differentiated from solitary BM with sensitivity and specificity of 95% and 86%. CONCLUSIONWe can conclude that lower values of ADC in the enhancing tumor volume and a higher percentage of signal recovery in perfusion curves, associated with higher values of rCBV in the peritumoral edema closed to the lesion, are strongly indicative of GB than solitary BM.

scholarly journals Drain output volume after pancreaticoduodenectomy is a useful warning sign for postoperative complications

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Taro Fukui ◽  
Hiroshi Noda ◽  
Fumiaki Watanabe ◽  
Takaharu Kato ◽  
Yuhei Endo ◽  
...  
Keyword(s):  
Predictive Value ◽  
Roc Analysis ◽  
Independent Predictor ◽  
Area Under The Curve ◽  
Warning Sign ◽  
Operating Characteristics ◽  
Protein Loss ◽  
Chyle Leak ◽  
Major Complications ◽  
Output Volume

Abstract Introduction The drain output volume (DOV) after pancreaticoduodenectomy (PD) is an easily assessable indicator in clinical settings. We explored the utility of the DOV as a possible warning sign of complications after PD. Methods A total of 404 patients undergoing PD were considered for inclusion. The predictability of the DOV for overall morbidity, major complications, intraabdominal infection (IAI), clinically relevant (CR) postoperative pancreatic fistula (POPF), CR delayed gastric emptying (DGE), CR chyle leak (CL), and CR post-pancreatectomy hemorrhaging (PPH) was evaluated. Results One hundred (24.8%) patients developed major complications, and 131 (32.4%) developed IAI. Regarding CR post-pancreatectomy complications, 75 (18.6%) patients developed CR-POPF, 23 (5.7%) developed CR-DGE, 20 (5.0%) developed CR-CL, and 28 (6.9%) developed CR-PPH. The median DOV on postoperative day (POD) 1 and POD 3 was 266 and 234.5 ml, respectively. A low DOV on POD 1 was an independent predictor of CR-POPF, and a high DOV on POD 3 was an independent predictor of CR-CL. A receiver operating characteristics (ROC) analysis revealed that the DOV on POD 1 had a negative predictive value (area under the curve [AUC] 0.655, sensitivity 65.0%, specificity 65.3%, 95% confidence interval [CI]: 0.587–0.724), with a calculated optimal cut-off value of 227 ml. An ROC analysis also revealed that the DOV on POD 3 had a positive predictive value (AUC 0.753, sensitivity 70.1%, specificity 75.0%, 95% CI: 0.651–0.856), with a calculated optimal cut-off value of 332 ml. Conclusion A low DOV on POD 1 might be a postoperative warning sign for CR-POPF, similar to high drain amylase (DA) on POD 1, high DA on POD 3, and high CRP on POD 3. When the DOV on POD 1 after PD was low, surgeons should evaluate the reasons of a low DOV. A high DOV on POD 3 was a postoperative warning sign CR-CL, and might require an appropriate management of protein loss.

Tidal volumes at birth as predictor for adverse outcome in congenital diaphragmatic hernia

2019 ◽  
Vol 105 (3) ◽  
pp. 248-252 ◽  
Author(s):  
Arenda Mank ◽  
Cristina Carrasco Carrasco ◽  
Marta Thio ◽  
Jordi Clotet ◽  
Steffen C Pauws ◽  
...  
Keyword(s):  
Congenital Diaphragmatic Hernia ◽  
Diaphragmatic Hernia ◽  
Respiratory Function ◽  
Neonatal Intensive Care ◽  
Roc Analysis ◽  
Predictive Accuracy ◽  
Adverse Outcome ◽  
Independent Predictor ◽  
Area Under The Curve ◽  
Operating Characteristics

ObjectiveTo assess the predictive value of tidal volume (Vt) of spontaneous breaths at birth in infants with congenital diaphragmatic hernia (CDH).DesignProspective study.SettingTertiary neonatal intensive care unit.PatientsThirty infants with antenatally diagnosed CDH born at Hospital Sant Joan de Déu in Barcelona from September 2013 to September 2015.InterventionsSpontaneous breaths and inflations given in the first 10 min after intubation at birth were recorded using respiratory function monitor. Only expired Vt of uninterrupted spontaneous breaths was included for analysis. Receiver operating characteristics (ROC) analysis was performed and the area under the curve (AUC) was estimated to assess the predictive accuracy of Vt.Main outcome measuresMortality before hospital discharge and chronic lung disease (CLD) at day 28 of life.ResultsThere were 1.233 uninterrupted spontaneous breaths measured, and the overall mean Vt was 2.8±2.1 mL/kg. A lower Vt was found in infants who died (n=14) compared with survivors (n=16) (1.7±1.6 vs 3.7±2.1 mL/kg; p=0.008). Vt was lower in infants who died during admission or had CLD (n=20) compared with survivors without CLD (n=10) (2.0±1.7 vs 4.3±2.2 mL/kg; p=0.004). ROC analysis showed that Vt ≤2.2 mL/kg predicted mortality with 79% sensitivity and 81% specificity (AUC=0.77, p=0.013). Vt ≤3.4 mL/kg was a good predictor of death or CLD (AUC=0.80, p=0.008) with 85% sensitivity and 70% specificity.ConclusionVt of spontaneous breaths measured immediately after birth is associated with mortality and CLD. Vt seems to be a reliable predictor but is not an independent predictor after adjustment for observed/expected lung to head ratio and liver position.

scholarly journals Good employees through good jobs

2017 ◽  
Vol 39 (4) ◽  
pp. 503-522 ◽  
Author(s):  
Stan De Spiegelaere ◽  
Monique Ramioul ◽  
Guy Van Gyes
Keyword(s):  
Work Engagement ◽  
Latent Profile Analysis ◽  
Roc Analysis ◽  
Profile Analysis ◽  
Electricity Sector ◽  
Operating Characteristics ◽  
Employee Outcomes ◽  
Content Type ◽  
Combination Of Methods ◽  
Latent Profile

Purpose The purpose of this paper is to identify different job types in the Belgian electricity sector and their relations with employee outcomes such as work engagement and innovative work behaviour (IWB). Design/methodology/approach This paper uses a combination of latent profile analysis and relative operating characteristics (ROC) analysis. Findings Depending on the job resources and demands, five different job types are identified corresponding largely to the Karasek and Theorell (1990) job types. Their relation with the outcomes is not parallel with low-strain jobs performing best for work engagement, and active jobs for IWB. Research limitations/implications The combination of methods used in this study increases significantly the ease of communication of the findings, yet an external benchmark for the ROC analysis would be preferable. Practical implications To foster engagement and IWB with employees one should focus on the job content and only increase demands if they are combined with sufficient resources. Originality/value This research is the first in its kind that relates latent job types with different employee outcomes using a combination of latent profile and ROC analysis.

The predictability of the metabolic syndrome by adipokines

2020 ◽  
Vol 50 (6) ◽  
pp. 1255-1266
Author(s):  
Fereshteh Aliasghari ◽  
Soghra Aliasgharzadeh ◽  
Amir Hossein Faghfouri ◽  
Reza Mahdavi ◽  
Neda Lotfi Yagin
Keyword(s):  
Metabolic Syndrome ◽  
Serum Insulin ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Retinol Binding Protein ◽  
Operating Characteristics ◽  
Optimal Cutoff ◽  
Content Type ◽  
The Metabolic Syndrome ◽  
Cutoff Points

Purpose Obesity can cause impairment in adipose tissue-derived hormones levels, which, in turn, might lead to metabolic syndrome occurrence. This study aims to assess the relationship between the levels of adiponectin, resistin, retinol-binding protein 4 (RBP4) and insulin with metabolic syndrome (MetS) indices. Also, optimal cutoff points of the adipokines and insulin for MetS prediction were determined. Design/methodology/approach In this study, 180 women (90 women with MetS and 90 women without MetS) were studied. The National Cholesterol Education Program Adult Treatment Panel III criteria were used for MetS diagnosis. Anthropometric and biochemical indices were measured. Data were analyzed using SPSS software version 21. Findings Serum adiponectin correlated negatively with age, BMI, waist circumference (WC), triglyceride (TG), total cholesterol, SBP, DBP, FBS and positively correlated with high-density lipoprotein-cholesterol. Both resistin and RBP4 levels correlated positively with BMI, WC, TG, SBP, DBP and FBS. Also, serum insulin correlated positively with BMI, WC, SBP and DBP. All the studied adipokines and insulin showed significant areas under the receiver operating characteristics curve. The largest area under the curve was observed for adiponectin (0.93, 95 per cent CI = 0.89-0.97, p < 0.001) with the optimal cut-off point of 11.94 µg/L. Also, the upper level of adiponectin was associated with 70 per cent lower prevalence odds of metabolic syndrome after adjusting for confounders. Originality/value The authors determined the optimal cutoff points of the adipokines and insulin for MetS prediction and calculated the diagnostic odds ratio for various cutoff values. Adiponectin could be used as a biomarker in MetS regarding its largest AUC.

scholarly journals Vertical and horizontal trust and team learning: the role of organizational climate

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adebayo Agbejule ◽  
Jukka Rapo ◽  
Lotta Saarikoski
Keyword(s):  
Organizational Climate ◽  
Team Learning ◽  
Empirical Support ◽  
Project Team ◽  
Theory And Practice ◽  
Survey Method ◽  
Content Type ◽  
Team Members ◽  
The Relationship

PurposeThis study examines the relationship between trust, organizational climate and team learning among project team members (PTM). In recent years, many companies have come to recognize the important role team learning plays in achieving competitive advantage.Design/methodology/approachData were collected through a survey questionnaire, and responses from 86 PTM provide support for the research model and demonstrate that how organizational climate mediates the relationship between trust and team learning.FindingsThe structural equation analysis of the data collected from 86 project team members indicate that both vertical and horizontal trust influences organizational climate, which, in turn, is a determinant of team learning. In addition, although both types of trust contributed to organizational climate, the results indicated that horizontal trust had a greater influence on organizational climate and team learning.Research limitations/implicationsThe study employed the survey method and is not without limitations. The first limitation concerns our sample size, which was selected from one global company. Second, the survey data were all collected at a single point in time. Therefore, the authors cannot unambiguously infer causality. To attempt to do so, it would be useful to investigate the model in the context of organizational and development change. Despite these limitations, the results of the study have implications for theory and practice.Practical implicationsThe implication for theory is that the results provide empirical support for the view that organization climates mediate the relationship between trust and team learning. On the practical side, the organizations should also pay more attention to increasing trust at the work place, especially among PTM that may contribute to favorable organizational climate, which is vital for team learning.Originality/valueThis paper addresses the simultaneous role of vertical and horizontal trust on organizational climate and how it contributes to team learning. The results indicate that organizations emphasis on horizontal trust can plays a vital role in team learning, which is a contribution to enhancing teamwork and performance in organizations.

scholarly journals The Edinburgh cognitive and behavioral amyotrophic lateral sclerosis screen (ECAS): sensitivity in differentiating between ALS and Alzheimer’s disease in a Greek population

2021 ◽  
Author(s):  
Panagiotis Kourtesis ◽  
Foteini Christidi ◽  
Eleni Margioti ◽  
Christina Demenega ◽  
Mihail Rentzos ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Convergent Validity ◽  
Normative Data ◽  
Roc Analysis ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
Operating Characteristics ◽  
Als Patients ◽  
Lateral Sclerosis ◽  
Better Than

Objectives: (1) Adapt the ECAS into Greek, validate it in ALS patients and compare with the ALS-CBS. (2) Determine the sensitivity and specificity of ECAS in the differentiation between AD and non-demented ALS patients as compared with the ACE-III and mini-ACE. Methods: ALS patients (n = 28) were recruited and AD patients (n = 26) were matched in age, sex, and education with ALS patients (n = 24). The normative data were derived from a random sample of controls (n = 52). Bayes correlation analysis was conducted to examine convergent validity. Bayes t-test was performed to assess between groups’ differences. Receiver operating characteristics (ROC) curve analyses and area under the curve (AUC) were implemented to appraise the sensitivity and specificity in the differentiation between the AD and non-demented ALS patients. Results: The ECAS and its sub-scores in addition to the behavior interview demonstrated robust correlations with the ALS-CBS. Impairment in language and verbal fluency were the most prominent deficits in the ALS patients. The most frequently reported change was apathy. The ROC analysis demonstrated that the ECAS-ALS nonspecific score (comprising memory and visuospatial domains) is the most sensitive and specific in differentiating the AD from ALS patients. The other measures expressed high sensitivity, yet a poor specificity. Conclusions: The ECAS is a multi-purpose screening tool. The ECAS-ALS specific appraises the whole spectrum of the highly prevalent cognitive impairments in ALS. The ECAS-ALS nonspecific (memory and visuospatial) is a sensitive score to detect AD related deficits and is able to differentiate the AD from the non-demented ALS patients better than the ACE-III and mini-ACE.

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