Using Open-Source Data to Identify Participation in the Illicit Antiquities Trade: A Case Study on the Cypriot Civil War

The illicit trade in antiquities from conflict zones is clandestine and politicised and it very likely involves violent, organised criminals, including paramilitaries and terrorists; so reliable, detailed information is extraordinarily difficult to access. Nonetheless, open-source data may provide clues to the structure of the market. This article reviews the development of the Cypriot antiquities trade until the outbreak of the civil war in 1963, through the cultural heritage crisis that accompanied that conflict until the coup and invasion of 1974. Then, adapting an established method for studying the scale of a small, undisturbed illicit market, it gauges communities’ participation in looting during the civil war in Cyprus. It does so by analysing the find-spot and acquisition date information in collections of antiquities recovered before and during conflict, and cross-referencing them with demographic and historical information in order to identify the communities from which the looters probably came. It uses this crude categorical method in order to assess ethnically-based narratives of looting and trading in illicit antiquities. The evidence suggests that: before the conflict, there was no correlation between community and looting; during the civil war, due to economic and geopolitical factors, members of Turkish Cypriot communities were disproportionately involved in looting; at the same time, members of Greek Cypriot communities were far more involved in looting than has previously been recognised; Greek Cypriot archaeologists have misinterpreted the structure of the trade and consequently contributed to communalist policies and nationalist histories; and the antiquities policy of the Republic of Cyprus was one of the significant causes of the developments in the trade.     

Two Faces of Media Attention: Media Storm Versus Non-Storm Coverage

A media storm is a sudden surge in news coverage of an item, producing high attention for a sustained period. Our study represents the first multi-issue, quantitative analysis of storm behavior. We build a theory of the mechanisms that drive media storms and why the “anatomy” of media storms differs from that of non-storm coverage. Specifically, media storm coverage should change less explosively over time, but be more sharply skewed across issues, compared to non-storm coverage. We offer a new method of operationalizing media storms and apply our operationalization to U.S. and Belgian news. Even in these two very different cases, we find a common empirical storm anatomy with properties that differ from those of non-storm coverage in the predicted fashion. We illustrate the effects of media storms on the public through discussion of four key examples, showing that online search behavior responds strongly to media storms.     

Physical Aggression and Sexual Behavior Among Siblings: A Retrospective Study

Retrospective recall of physical aggression and sexual behavior among siblings was investigated. Participants described behaviors between themselves and siblings in the family, their estimation of the appropriateness of the behavior, and their current relationship with their siblings. Additionally, participants completed measures of family structure and stress. Results indicated that rates of physical aggression among siblings was high, with varying severity. Rates of sexual behavior were lower. For both physical and sexual behaviors, participants were more likely to believe that the behaviors were abusive in retrospect than when they actually occurred. No differences were found in family structure among abusive and nonabusive siblings, but siblings who reported physical or sexual behaviors also reported higher levels of intrafamilial stress. Certain types of stressors may predict particular sibling relationships.     

Bedingungen und Formen „gütlichen Einvernehmens“

Compromises are the creative result of a peaceful handling of conflicts. They become possible if the conflicting parties are held together by mutual dependencies and if some facilitating conditions exist, most importantly the divisibility of the object the fighting parties compete for, possibilities for compensation, and the “enlarging of the shadow of future” (Axelrod). However, compromises can remain contested and instable if one of the participating parties thinks they do not accord to the principle of “fair exchange” or, furthermore, if relevant “third parties” believe their externalities not to accord to “public welfare”. Political regulations thought to inhibit these effects do inhibit the working out of compromises, too. Making compromises stable in effect limits the chance that they come about.     

STR melting curve analysis as a genetic screening tool for crime scene samples

In this proof-of-concept study, high-resolution melt curve (HRMC) analysis was investigated as a postquantification screening tool to discriminate human CSF1PO and THO1 genotypes amplified with mini-STR primers in the presence of SYBR Green or LCGreen Plus dyes. A total of 12 CSF1PO and 11 HUMTHO1 genotypes were analyzed on the LightScanner HR96 and LS-32 systems and were correctly differentiated based upon their respective melt profiles. Short STR amplicon melt curves were affected by repeat number, and single-source and mixed DNA samples were additionally differentiated by the formation of heteroduplexes. Melting curves were shown to be unique and reproducible from DNA quantities ranging from 20 to 0.4 ng and distinguished identical from nonidentical genotypes from DNA derived from different biological fluids and compromised samples. Thus, a method is described which can assess both the quantity and the possible probative value of samples without full genotyping.     

Fast Discrimination of Marijuana using Automated High-throughput Cannabis Sample Preparation and Analysis by Gas Chromatography–Mass Spectrometry

In the United States, federal law and many state laws differentiate between marijuana and industrial hemp through delta-9-tetrahydrocannabinol (THC) levels, whereby the latter is defined as ≤0.3 percent THC on a dry weight basis. Many traditional cannabis identification methods employed by crime laboratories cannot accurately determine total THC quantities in accordance with federal and state regulations, or do so with increased time, labor, and risks of instrument damage. In order to quickly distinguish positive marijuana samples, a method was developed to identify plant material with a total THC level >1%. This novel, automated dispersive pipette extraction (DPX) method uses tip-based technology and an automated liquid handler to enable fast, hands-free selective isolation of THC and its precursors for downstream gas chromatography–mass spectrometry (GC-MS) analysis. The workflow proceeds with no repetitive manual effort and reduced need for instrument maintenance while enabling crime labs to legally identify marijuana through the detection of total THC above 1%. Recovery of THC using the DPX extraction method was 93% at 30 µg/mL and 78% at 500 µg/mL. Similarly, THCA-A recovery was 100% at 30 µg/mL and 74% at 500 µg/mL. Samples evaluated in a blind study (proficiency, hemp, and nonprobative case samples) were all accurately identified as greater than or less than 1% THC, with samples containing <1% THC being identified as “cannabis” and subjected to more discriminative analysis as needed.