Optimizing the human learnability of abstract network representations.

Precisely how humans process relational patterns of information in knowledge, language, music, and society is not well understood. Prior work in the field of statistical learning has demonstrated that humans process such information by building internal models of the underlying network structure. However, these mental maps are often inaccurate due to limitations in human information processing. The existence of such limitations raises clear questions: Given a target network that one wishes for a human to learn, what network should one present to the human? Should one simply present the target network as-is, or should one emphasize certain parts of the network to proactively mitigate expected errors in learning? To investigate these questions, we study the optimization of network learnability in a computational model of human learning. Evaluating an array of synthetic and real-world networks, we find that learnability is enhanced by reinforcing connections within modules or clusters. In contrast, when networks contain significant core-periphery structure, we find that learnability is best optimized by reinforcing peripheral edges between low-degree nodes. Overall, our findings suggest that the accuracy of human network learning can be systematically enhanced by targeted emphasis and de-emphasis of prescribed sectors of information.

Bouveret syndrome preceding classical gallstone ileus: a rare presentation of a cholecystoduodenal fistula.

Bouveret syndrome is the rarest variant of gallstone ileus characterized by the passage and impaction of a gallstone through a bilioenteric fistula leading to gastric outlet obstruction. The documented movement of an impacted gallstone in Bouveret syndrome through the gastrointestinal tract has not been previously discussed in the literature. A 64-year-old man presented with acute on chronic epigastric pain, fevers, and vomiting. Abdominal computed tomography established a diagnosis of Bouveret syndrome. A trial of endoscopic gallstone extraction was unsuccessful. Laparoscopic gastrotomy and stone removal were later attempted, however, intraoperatively it was noted that the stone had migrated and was now impacted in the jejunum causing a small bowel obstruction. The clinical picture was now that of gallstone ileus. Laparoscopic enterolithotomy was performed successfully. This article discusses the radiological, endoscopic, and intraoperative findings in this rare case of Bouveret syndrome that had evolved into classical gallstone ileus following stone migration.

Functional outcomes of bowel resection versus shaving or disc excision of colorectal endometriosis: a systematic review protocol.

INTRODUCTION: Endometriosis is a prevalent gynaecological condition for women of reproductive age worldwide. While endometriosis primarily involves the reproductive system, it can also infiltrate additional viscera such as the gastrointestinal tract. Patients with colorectal endometriosis can have severe symptoms that require surgical intervention. There are limited data available to guide the choice of resection technique based on the functional outcomes of bowel resection versus shaving or disc excision in treating colorectal endometriosis. This protocol aims to outline the methods that will be used in a systematic review of the literature comparing the functional outcomes of bowel resection to shaving and disc excision when surgically treating colorectal endometriosis. METHODS AND ANALYSIS: Papers will be identified through database searches, scanning reference lists of relevant studies and citation searching of key papers. Two independent reviewers will screen studies against eligibility criteria and extract data using standardised forms. Databases including MEDLINE, EMBASE and Cochrane will be searched from the beginning of each database until February 2024. The primary outcome is comparing the functional bowel outcomes between the different methods of surgical treatment. Secondary outcome will be quality of life, based on the Low Anterior Resection Syndrome score and the incidence of postoperative pain. A meta-analysis will be performed if the data are homogenous. ETHICS AND DISSEMINATION: This study does not require ethics approval. The results of the systematic review described within this protocol will be disseminated through presentations at relevant conferences and publication in a peer-reviewed journal. The methods will be used to inform future reviews. PROSPERO REGISTRATION NUMBER: CRD42023461711.

Path-dependent dynamics induced by rewiring networks of inertial oscillators.

In networks of coupled oscillators, it is of interest to understand how interaction topology affects synchronization. Many studies have gained key insights into this question by studying the classic Kuramoto oscillator model on static networks. However, new questions arise when the network structure is time varying or when the oscillator system is multistable, the latter of which can occur when an inertial term is added to the Kuramoto model. While the consequences of evolving topology and multistability on collective behavior have been examined separately, real-world systems such as gene regulatory networks and the brain may exhibit these properties simultaneously. It is thus relevant to ask how time-varying network connectivity impacts synchronization in systems that can exhibit multistability. To address this question, we study how the dynamics of coupled Kuramoto oscillators with inertia are affected when the topology of the underlying network changes in time. We show that hysteretic synchronization behavior in networks of coupled inertial oscillators can be driven by changes in connection topology alone. Moreover, we find that certain fixed-density rewiring schemes induce significant changes to the level of global synchrony that remain even after the network returns to its initial configuration, and we show that these changes are robust to a wide range of network perturbations. Our findings highlight that the specific progression of network topology over time, in addition to its initial or final static structure, can play a considerable role in modulating the collective behavior of systems evolving on complex networks.