Clockwise–Counterclockwise: Calligraphic Frames in Sephardic Hebrew Bibles and Their Roots in Mediterranean Culture

Most Near Eastern and Sefardi Bible manuscripts feature calligraphic frames around many of their carpet pages, and in Sefardi Iberian manuscripts they are frequently found surrounding the Temple Implement pages, which are unique to the region. The present essay traces the development of this scribal art in the Iberian Peninsula and the way that it evolved into a regional phenomenon that mirrors cultural interests and influences. I also discuss its origins in Hebrew Near Eastern manuscripts and further demonstrate the cultural roots and origins of this scribal phenomenon in the surrounding Byzantine and Islamic cultures

Privacy and the Digital Generation Gap: Myth and Reality

Over the past decade the demise of privacy has been repeatedly pronounced by renowned technology executives such as Mark Zuckerberg declaring privacy as passé and anachronistic- “so 20th century” - the concern of old people. However, there has been relatively little research into privacy perception and behaviour among different generations that may relate to how people navigate their private lives in online settings. Furthermore, recent research reveals the ways in which privacy concerns of young internet users are enacted, thus challenging overgeneralized claims of a clear-cut generation gap associated with online privacy. As information privacy problems are becoming thornier, unfounded statement voiced by stakeholders with vested interests should be put to one side. Instead, systematic research is needed to understand how privacy is perceived and managed by people of different age groups, and what measures can and should be taken to address current and future concerns of internet users across generations. We address these questions and account for the results using a representative sample from Israel

Nacionalismo, religião e (des)igualdade de sexo em Israel pelo prisma do direito da familia

Este artigo mostra que o conflito violento e duradouro mantido por Israel com os seus vizinhos árabes está pesando de modo decisivo sobre as relações de gênero. Aos olhos de muitos judeus israelenses, trata-se de uma luta pela sobrevivência do Estado judeu, que eclipsou a maioria das outras questões de ordem civil e social – tais como a igualdade dos sexos e os direitos das mulheres – julgadas ‘secundárias’, por comparação. Daí a perpetuação de práticas discriminatórias, até a sujeição aberta das mulheres em Israel. O artigo trata mais especificamente da questão do matrimônio e do divórcio, tomada como revelador. Ela joga luz sobre o papel que os movimentos feministas – religioso judeu, de um lado, e árabe-palestino, do outro lado – exerceram na reforma do direito da família. 

First record of an infection by tissue cyst-forming coccidia in wild vizcachas (Lagostomus maximus, Rodentia) of Argentina

Endoparasites of the Sarcocystidae family share the ability to form tissue cysts in their intermediate hosts, ultimately leading to pathogenesis in the definitive hosts that include various mammals, reptiles and birds. In our research on the endocrinology of the female vizcachas (Lagostomus maximus), we have found abnormal cystic structures in the ovaries of some individuals. So far, no cases of infection by tissue cyst-forming parasites have been reported in this species. To evaluate whether this autochthonous wild rodent is an intermediate host of an undescribed endoparasite, histological sections from various organs were examined. Pinhead-sized tissue cysts were found in the ovaries, mammary glands, uterus, pituitary, brain, adrenals and spleen, of both pregnant and non-pregnant females. The presence of cysts in the adult brain and embryonic tissue is indicative of the ability of the parasite to cross both the blood-brain and placental barriers. The infected brains exhibited a lower cyst density than that seen in other organs. Regardless of their location in superficial or deep tissue, the cysts were surrounded by a layer of connective tissue. Histologically, the cyst wall consisted of an outer layer of fibroblasts and collagen fibers, and an inner, granular-looking layer composed of host nucleated cells surrounding thousands of spindle-shaped bradyzoites. Outside the cysts, the host cellular structures showed normal appearance. The remarkable morphological similarities between the cysts studied here with those reported in naturally infected rabbits from an area neighboring the one inhabited by the vizcachas point to Besnoitia sp. as a plausible candidate. More studies will be necessary to confirm the identity of the parasite. Nevertheless, this is the first report of L. maximus as an intermediate host for a tissue cyst-forming coccidia.Fil: Cwirenbaum, Ruth Ana. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Schmidt, Alejandro Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Cortasa, Santiago Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Corso, María Clara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Vitullo, Alfredo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Dorfman, Verónica Berta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; ArgentinaFil: Halperin, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; Argentin

Preoperative predictions of in-hospital mortality using electronic medical record data

Background: Predicting preoperative in-hospital mortality using readily-available electronic medical record (EMR) data can aid clinicians in accurately and rapidly determining surgical risk. While previous work has shown that the American Society of Anesthesiologists (ASA) Physical Status Classification is a useful, though subjective, feature for predicting surgical outcomes, obtaining this classification requires a clinician to review the patient's medical records. Our goal here is to create an improved risk score using electronic medical records and demonstrate its utility in predicting in-hospital mortality without requiring clinician-derived ASA scores. Methods: Data from 49,513 surgical patients were used to train logistic regression, random forest, and gradient boosted tree classifiers for predicting in-hospital mortality. The features used are readily available before surgery from EMR databases. A gradient boosted tree regression model was trained to impute the ASA Physical Status Classification, and this new, imputed score was included as an additional feature to preoperatively predict in-hospital post-surgical mortality. The preoperative risk prediction was then used as an input feature to a deep neural network (DNN), along with intraoperative features, to predict postoperative in-hospital mortality risk. Performance was measured using the area under the receiver operating characteristic (ROC) curve (AUC). Results: We found that the random forest classifier (AUC 0.921, 95%CI 0.908-0.934) outperforms logistic regression (AUC 0.871, 95%CI 0.841-0.900) and gradient boosted trees (AUC 0.897, 95%CI 0.881-0.912) in predicting in-hospital post-surgical mortality. Using logistic regression, the ASA Physical Status Classification score alone had an AUC of 0.865 (95%CI 0.848-0.882). Adding preoperative features to the ASA Physical Status Classification improved the random forest AUC to 0.929 (95%CI 0.915-0.943). Using only automatically obtained preoperative features with no clinician intervention, we found that the random forest model achieved an AUC of 0.921 (95%CI 0.908-0.934). Integrating the preoperative risk prediction into the DNN for postoperative risk prediction results in an AUC of 0.924 (95%CI 0.905-0.941), and with both a preoperative and postoperative risk score for each patient, we were able to show that the mortality risk changes over time. Conclusions: Features easily extracted from EMR data can be used to preoperatively predict the risk of in-hospital post-surgical mortality in a fully automated fashion, with accuracy comparable to models trained on features that require clinical expertise. This preoperative risk score can then be compared to the postoperative risk score to show that the risk changes, and therefore should be monitored longitudinally over time

An Automated Machine Learning-based Model Predicts Postoperative Mortality Using Readily-Extractable Preoperative Electronic Health Record Data

Background Rapid, preoperative identification of patients with the highest risk for medical complications is necessary to ensure that limited infrastructure and human resources are directed towards those most likely to benefit. Existing risk scores either lack specificity at the patient level or utilise the American Society of Anesthesiologists (ASA) physical status classification, which requires a clinician to review the chart. Methods We report on the use of machine learning algorithms, specifically random forests, to create a fully automated score that predicts postoperative in-hospital mortality based solely on structured data available at the time of surgery. Electronic health record data from 53 097 surgical patients (2.01% mortality rate) who underwent general anaesthesia between April 1, 2013 and December 10, 2018 in a large US academic medical centre were used to extract 58 preoperative features. Results Using a random forest classifier we found that automatically obtained preoperative features (area under the curve [AUC] of 0.932, 95% confidence interval [CI] 0.910–0.951) outperforms Preoperative Score to Predict Postoperative Mortality (POSPOM) scores (AUC of 0.660, 95% CI 0.598–0.722), Charlson comorbidity scores (AUC of 0.742, 95% CI 0.658–0.812), and ASA physical status (AUC of 0.866, 95% CI 0.829–0.897). Including the ASA physical status with the preoperative features achieves an AUC of 0.936 (95% CI 0.917–0.955). Conclusions This automated score outperforms the ASA physical status score, the Charlson comorbidity score, and the POSPOM score for predicting in-hospital mortality. Additionally, we integrate this score with a previously published postoperative score to demonstrate the extent to which patient risk changes during the perioperative period

MolAxis: a server for identification of channels in macromolecules

MolAxis is a freely available, easy-to-use web server for identification of channels that connect buried cavities to the outside of macromolecules and for transmembrane (TM) channels in proteins. Biological channels are essential for physiological processes such as electrolyte and metabolite transport across membranes and enzyme catalysis, and can play a role in substrate specificity. Motivated by the importance of channel identification in macromolecules, we developed the MolAxis server. MolAxis implements state-of-the-art, accurate computational-geometry techniques that reduce the dimensions of the channel finding problem, rendering the algorithm extremely efficient. Given a protein or nucleic acid structure in the PDB format, the server outputs all possible channels that connect buried cavities to the outside of the protein or points to the main channel in TM proteins. For each channel, the gating residues and the narrowest radius termed ‘bottleneck’ are also given along with a full list of the lining residues and the channel surface in a 3D graphical representation. The users can manipulate advanced parameters and direct the channel search according to their needs. MolAxis is available as a web server or as a stand-alone program at http://bioinfo3d.cs.tau.ac.il/MolAxis