This article revisits the Aceh Chinese experience during the 2004 tsunami and their lives in Aceh, shaped by the region’s distinct legal and political context. Drawing on ethnographic research, it follows the life of an Aceh Chinese woman born in a small town south of Banda Aceh, highlighting the tragedy she and her community endured during the Tsunami. Through her memories, the article takes read

This study investigates subject use in [-topic shift] and [+topic shift] contexts in Standard Italian and Venetian - two close varieties which differ in their use of overt and null pronouns. In an acceptability judgment, we compare two groups of bilectals in their two varieties: children aged 7-12 years, divided in strong and weak dialect speakers, and an adult control group. All groups show diffe

The present paper deals with the acquisition of gender in Italian and French by monolingual and bilingual children. In our study, which is based on the data of five children, we focus on the gender marking on articles, because gender is most frequently marked on these elements. We claim that the Italian gender system is easier to acquire than the French gender system. This is because the formal pr

This licentiate dissertation emerges at the crossroads of critical disability studies and critical disasterstudies, with a commitment to justice, equality, and accessibility within the realm of disaster risk reduction(DRR). Its purpose was to develop new insights into strengthening crisis preparedness by activelyinvolving and including people with intellectual disabilities, leveraging their own kn

BACKGROUND: The purpose of this study was to examine whether there are sex differences in vasomotor responses and receptor localization of hormones and neuropeptides with relevance to migraine (vasopressin, oxytocin, estrogen, progesterone, testosterone, amylin, adrenomedullin and calcitonin gene-related peptide (CGRP)) in human intracranial arteries.METHODS: Human cortical cerebral and middle men

BACKGROUND: Pharmaceutical expenditures (PE) are increasing worldwide raising concerns about sustainability. However, the current price index provides an incomplete picture of this trend due to the rapid introduction of new drugs on the market.OBJECTIVE: The aim of this study is to decompose PE into their components and investigate the development in Sweden from 1990 to 2022.METHODS: The PE index

Air pollution is a global challenge impacting the lives of millions of people, especially in low-income countries. Improving air quality is linked to several of the United Nations Sustainable Development Goals (SDGs). The state of particulate matter (PM) pollution in Ethiopia and the importance of a national ambient air quality monitoring program are discussed. The contributions of NASA’s upcoming

Some common Christmas plants are presented with emphasis on Botany and their connection to Christmas. The plants dis- cussed are Picea abies, Euphorbia pulcherrima, Helleborus niger, Viscum album, Ilex aquifo- lium, Schlumbergera sp., Hippeastrum × hortorum, Hyacinthus orientalis, Lycopodium s.l., and Cladonia stellaris.Some common Christmas plants are presented with emphasis on Botany and their connection to Christmas. The plants dis- cussed are Picea abies, Euphorbia pulcherrima, Helleborus niger, Viscum album, Ilex aquifo- lium, Schlumbergera sp., Hippeastrum × hor- torum, Hyacinthus orientalis, Lycopodium s.l., and Cladonia stellaris.

In this symposium piece, I reply to the diverse and wide-ranging set of objections to my book (The Open Future: Why Future Contingents are All False) set forth by MacFarlane, Green, Wasserman, and Bigg & Miller.

Summary: We wanted to determine if there are any associations between birth factors and adult fracture risk. For women only, shorter birth length was associated with lower relative fracture risk. For women and men, individuals who were long at birth as well as tall in adulthood had a substantially higher relative fracture risk. Purpose: We aimed to examine associations between birth anthropometry

This letter presents and analyzes an adaptive data-driven controller that learns the optimal processing rate in a multi-unit processing network in the presence of disturbances. We formulate an optimization problem of linear cost, linear dynamics for the processing network model and an affine constraint on the dispatcher policy. A data-driven linear equation is constructed, based on which the onlin

Molecular blood biomarkers are lacking for high-grade (HG) gastroenteropancreatic (GEP) neuroendocrine neoplasms (NEN). To histologically distinguish between neuroendocrine carcinoma (NEC), neuroendocrine tumors G3 (NET G3), adenocarcinoma and MINEN is often challenging. The mRNA-based NETest has diagnostic, prognostic and predictive value in neuroendocrine tumors G1-2 but has not been studied in

Background and aim: It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC). Methods: A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on dia