Z-line examination by the PillCam~(TM) SB:Prospective comparison of three ingestion protocols

AIM:To evaluate the Z-line visualization by the PillCamTM SB2 using three different ingestion protocols. METHODS:Ninety consecutive patients undergoing small bowel capsule endoscopy(SBCE)between January and May 2008 were included in the study. They swallowed the capsule in the standing(Group A= 30),supine(Group B=30)and right supine positions (Group C=30).Baseline patient characteristics, difficulties in capsule ingestion,esophageal transit times(ETT)and Z-line visualization were noted. RESULTS:No significa...     

Sexing and stature estimation criteria for Balkan populations

Abstract:  Two standard measurements, maximum femur length and head diameter, were collected by International Criminal Tribunal (ICTY) anthropologists. Only Kosovans had both femur dimensions for both sexes. Antemortem stature data were available only for Kosovan and Croatian males. Despite these limitations, the data offer the opportunity to examine ethnic variation and to present sex and stature estimation criteria for these groups. Additional data from Croatians and from American Whites were used for comparison in certain parts of the analysis. Femur variation was considerable. Kosovans can be characterized as short and robust, Bosnians as tall and less robust, and Croatians are tall and gracile, resembling American Whites more than the other groups. Some limited antemortem data on stature was also available, allowing stature estimation equations to be estimated for Croatians and Kosovans. Antemortem stature estimates were obtained from interviews with relatives and are shown to overestimate actual stature. We argue that equations predicting height obtained from relatives is the most realistic in this case because that is the height to which an estimate obtained from bone lengths will be compared. Kosovans were also shown to have experienced slight secular increase in femur length over the past 70 years.     

Effectiveness of fiscal incentives for innovation: Evidence from meta‐regression analysis

This article examines the microeconometric evidence on the impact of government support for R&D and innovation. Our meta‐regression analysis uses a dataset of empirical evidence on the effects of government R&D policies on innovation and investigates the factors that may explain the differences in the estimated effects. The meta‐analysis is structured to include both the direct and indirect government support for R&D and innovation. The estimated results reveal the heterogeneity of empirical studies with respect to the type of incentive, data, and econometric methodology used. The results indicate that the output additionality effect is on average stronger for R&D tax incentives than subsidies. Studies that use the subsample of high technology sector show a stronger additionality effect of fiscal incentives on innovation. Moreover, small and medium enterprises have a stronger input additionality effect. The results also suggest that studies considered endogeneity issues have on average stronger additionality effect.     

Impact of labour productivity on structural transformation and economic growth: A state‐level analysis

During the 90th and 20th century, India underwent a remarkable phase of growth and employment generation. Unlike the usual pattern of structural shift, India experienced a shift away from agriculture to services, which become the backbone of India's growth trajectory. Using shift‐share analysis, this paper tries to find out the pattern of structural change in India's five Southern States and contribution of labour productivity towards this structural shift. I find that all the South Indian states witnessed a service lead growth with a high‐labour productivity growth. I also find that the main driver of productivity surge in all the Southern States of India was within‐sector productivity growth whereas sectorial reallocation effects being the important part of productivity growth.     

Non State-wide Parties in Spain: An Attitudinal Study of Nationalism and Regionalism

The contribution of regional parties to the development of thestate of the autonomies in democratic Spain is the focus ofthis article. One of the most important features of the transformedstate is non-statewide parties (NSWPs) that have emerged asa result of diversity and expressions of regionalism. The levelof electoral strength and institutional presence, attitudinalbases of their electoral support, and perceptions of the territorialspace and representation of NSWPs are analyzed.     

Characterization of Printing Inks Using DART‐Q‐TOF‐MS and Attenuated Total Reflectance (ATR) FTIR

The rise in improved and widely accessible printing technology has resulted in an interest to develop rapid and minimally destructive chemical analytical techniques that can characterize printing inks for forensic document analysis. Chemical characterization of printing inks allows for both discrimination of inks originating from different sources and the association of inks originating from the same source. Direct analysis in real‐time mass spectrometry (DART‐MS) and attenuated total reflectance Fourier transform infrared spectroscopy (ATR‐FTIR) were used in tandem to analyze four different classes of printing inks: inkjets, toners, offset, and intaglio. A total of 319 samples or ~ 80 samples from each class were analyzed directly on a paper substrate using the two methods. DART‐MS was found to characterize the semi‐volatile polymeric vehicle components, while ATR‐FTIR provided chemical information associated with the bulk components of these inks. Complimentary data results in improved discrimination when both techniques are used in succession resulting in >96% discrimination for all toners, 95% for all inkjets, >92% for all offset, and >54% for all intaglio inks.     

A Novel Forensic Tool for the Characterization and Comparison of Printing Ink Evidence: Development and Evaluation of a Searchable Database Using Data Fusion of Spectrochemical Methods

A searchable printing ink database was designed and validated as a tool to improve the chemical information gathered from the analysis of ink evidence. The database contains 319 samples from printing sources that represent some of the global diversity in toner, inkjet, offset, and intaglio inks. Five analytical methods were used to generate data to populate the searchable database including FTIR, SEM‐EDS, LA‐ICP‐MS, DART‐MS, and Py‐GC‐MS. The search algorithm based on partial least‐squares discriminant analysis generates a similarity “score” used for the association between similar samples. The performance of a particular analytical method to associate similar inks was found to be dependent on the ink type with LA‐ICP‐MS performing best, followed by SEM‐EDS and DART‐MS methods, while FTIR and Py‐GC‐MS were less useful in association but were still useful for classification purposes. Data fusion of data collected from two complementary methods (i.e., LA‐ICP‐MS and DART‐MS) improves the classification and association of similar inks.     

An interlaboratory study to evaluate the utility of gas chromatography-mass spectrometry and gas chromatography-infrared spectroscopy spectral libraries in the forensic analysis of fentanyl-related substances

Synthetic opioids such as fentanyl account for over 71,000 of the approximately 107,000 overdose deaths reported in the United States in 2021. Fentanyl remains the fourth most identified drug by state and local forensic laboratories, and the second most identified drug by federal laboratories. The unambiguous identification of fentanyl-related substances (FRS) is challenging due to the absence or low abundance of a molecular ion in a typical gas chromatography-mass spectrometry (GC-MS) analysis and due to a low number of fragment ions that are similar among the many potential isomers of FRS. This study describes the utility of a previously reported gas chromatography-infrared (GC-IR) library for the identification of FRS within a blind, interlaboratory study (ILS) involving seven forensic laboratories. Twenty FRS reference materials, including those with isomer pairs in the library, were selected based on either their presence in the NIST library and/or some similarity of the mass spectra information produced. The ILS participants were requested to use the Florida International University (FIU) GC-MS and GC-IR libraries supplied by FIU to search for matches to their unknown spectra generated from in-house GC-MS and GC-IR analysis. The laboratories reported improvement in the positive identification of unknown FRS from ~75% using GC-MS alone to 100% correct identification using GC-IR analysis. One laboratory participant used solid phase IR analysis, which produced spectra incompatible with the vapor phase GC-IR library to generate a good comparison spectrum. However, this improved when searched against a solid phase IR library.