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This book is a historical study of the survey and mapping system of Palestine under the British Mandate. It traces the background and the reasoning behind the establishment of the survey programme, examines the foundations upon which the system was based, and strives to understand the motivation of those who implemented it. This study shows that the roots of the modern survey system of Palestine are to be sought in the Balfour Declaration and its implications regarding land in Palestine. The land issue was at the core of the mapping of Mandatory Palestine, and it remains as a core issue at the heart of the Israeli-Palestinian dispute. Part 1: The Mapping of Palestine: Historical Background 1. The First Maps Based on Original Surveys 2. The Transitional Period - From the Land Problem Under the Military Administration to the Survey System of the Government of Palestine Part 2: The Survey System 3. Organizing the System 4. Geodetic and Cartographic Considerations Part 3: The Cadastral Survey 5. The Survey and Land Settlement Systems, 1920-1927 6. The Cadastral Maps 7. The Survey and Land Settlement Systems, 1928-1948 Part 4: The Topographic Map 8. The Topographic Map - A National Monument 9. The Topographic Map - Layout, Structure, Sources Part 5: The Map of Mandate Palestine 10. The Map of Palestine and the Imperial Cartographic System 'It is a tribute to Dr Gavish that he has so successfully incorporated and interwined the many threads relating to the survey, personalities involved and the effect of changing national and international politics. The result is an extremely fascinating, readable and learned account of the Survey of Palestine.' - IMCoS Journal 'Dr Dov Gavish of the Hebrew University of Jerusalem is to be congratulated for his masterly control of the fascinating subject of his book. The research undertaken has been based on extensive, and quoted, source material.' - IMCoS Journal 'The appearance of this book is to be applauded: Gavish has succeeded... in resurrecting an otherwise forgotten yet nonetheless important cartographic episode.' - Matthew H. Edney, Imago Mundi , Volume 59 Issue 2, 2007 Dov Gavish is Director of the Ariel Photographs Archives, and also lectures in the Department of Geography, The Hebrew University of Jerusalem. His previous publications include 50 Years of Mapping Israel, 1948-1999 , Salt of the Earth: From the Palestine Potash to the Dead Sea Works and Land and Map: The Survey of Palestine, 1920-1948 .

Nineteenth-century Palestine mapping projects based on systematic land surveying reached a peak with the Ordnance Survey of Western Palestine between 1871 and 1877, conducted on behalf of the Palestine Exploration Fund by officers of the British Royal Engineering Corps. Various other nineteenth-century proposals for an organized survey of the country-some of which bore partial results while others were never implemented-are also presented. The surveying of one region, Mesopotamia, during the 1830s and 1840s, forms the basis for the discussion of the reasons for the relative lateness of the topographical survey. The sacredness of the region seems not to have been a sufficiently convincing motive for entrepreneurs to organize and finance such a survey. The main reason for the delay in mapping the country as a whole was that it was not especially important, either strategically or geo-politically, for the European nations engaged in the international struggles in the Middle East until the last quarter of the nineteenth century.

Background The current applications of artificial intelligence (AI) in medicine continue to attract the attention of medical students. This study aimed to identify undergraduate medical students’ attitudes toward AI in medicine, explore present AI-related training opportunities, investigate the need for AI inclusion in medical curricula, and determine preferred methods for teaching AI curricula. Methods This study uses a mixed-method cross-sectional design, including a quantitative study and a qualitative study, targeting Palestinian undergraduate medical students in the academic year 2022–2023. In the quantitative part, we recruited a convenience sample of undergraduate medical students from universities in Palestine from June 15, 2022, to May 30, 2023. We collected data by using an online, well-structured, and self-administered questionnaire with 49 items. In the qualitative part, 15 undergraduate medical students were interviewed by trained researchers. Descriptive statistics and an inductive content analysis approach were used to analyze quantitative and qualitative data, respectively. Results From a total of 371 invitations sent, 362 responses were received (response rate = 97.5%), and 349 were included in the analysis. The mean age of participants was 20.38 ± 1.97, with 40.11% (140) in their second year of medical school. Most participants (268, 76.79%) did not receive formal education on AI before or during medical study. About two-thirds of students strongly agreed or agreed that AI would become common in the future (67.9%, 237) and would revolutionize medical fields (68.7%, 240). Participants stated that they had not previously acquired training in the use of AI in medicine during formal medical education (260, 74.5%), confirming a dire need to include AI training in medical curricula (247, 70.8%). Most participants (264, 75.7%) think that learning opportunities for AI in medicine have not been adequate; therefore, it is very important to study more about employing AI in medicine (228, 65.3%). Male students (3.15 ± 0.87) had higher perception scores than female students (2.81 ± 0.86) ( p  < 0.001). The main themes that resulted from the qualitative analysis of the interview questions were an absence of AI learning opportunities, the necessity of including AI in medical curricula, optimism towards the future of AI in medicine, and expected challenges related to AI in medical fields. Conclusion Medical students lack access to educational opportunities for AI in medicine; therefore, AI should be included in formal medical curricula in Palestine.

The first expansive reference examining the texts and material culture related to children in ancient Israel Growing Up in Ancient Israeluses a child-centered methodology to investigate the world of children in ancient Israel. Where sources from ancient Israel are lacking, the book turns to cross-cultural materials from the ancient Near East as well as archaeological, anthropological, and ethnographic sources. Acknowledging that childhood is both biologically determined and culturally constructed, the book explores conception, birth, infancy, dangers in childhood, the growing child, dress, play, and death. To bridge the gap between the ancient world and today's world, Kristine Henriksen Garroway introduces examples from contemporary society to illustrate how the Hebrew Bible compares with a Western understanding of children and childhood. Features: More than fifty-five illustrations illuminating the world of the ancient Israelite childAn extensive investigation of parental reactions to the high rate of infant mortality and the deaths of infants and childrenAn examination of what the gendering and enculturation process involved for an Israelite child

Background The Kessler Psychological Distress Scale has been widely used in assessing psychological distress among general and clinical populations from different cultural backgrounds. To our knowledge, however, researchers have not yet validated any translated versions in Arabic. The purpose of this study was to test the reliability and validity of Arabic translations of the ten item (K10) and six item (K6) versions among public sector employees in the Occupied Palestinian Territories. Methods As part of a larger research project on life satisfaction, researchers collected data from 234 Palestinian social workers in June and July of 2016. The survey included several mental health measures, including the K10, which were translated from English to Arabic by an experienced language expert. In the current study, we tested reliability by measuring internal consistency using Cronbach’s alpha coefficient. Next, we assessed factor structure using variance-covariance matrix with maximum likelihood estimation. Confirmatory factor analysis was performed to examine three competing models: unidimensional K10 model, unidimensional K6 model and two-factor K6 model. Fit indices and parameter estimates were reported. Last, convergent validity was examined by assessing correlations with Generalized Anxiety Disorder (GAD-7) and Somatic Symptoms Scale (SSS-8). Results The mean scores for the K6 and K10 were, respectively, 12.87 ( SD  = 4.02) and 21.8 ( SD  = 6.7), indicative of mild to moderate levels of distress. Scale reliability analysis showed satisfactory results on both K6 and K10 versions (Cronbach’s α = .81 (K6) and .88 (K10)). Among three competing models, the two-factor K6 scale demonstrated the best model fit with high factorial correlations ( r  = .60, p  < .001). Moreover, the K6 has high convergent validity with GAD-7 ( r  = .66, p  < .001) and SSS-8 ( r  = .61, p  < .001). Conclusion Results indicated that the translated version of the two-factor K6 scale is a valid and reliable measurement of psychological distress. Our findings suggest that practitioners and researchers can use this instrument in screening and assessing psychological symptoms with Arabic-speaking populations.

Cancer patients experience psychological symptoms such as depression during the cancer treatment period, which increases the burden of symptoms. Depression severity can be assessed using the beck depression inventory (BDI II). The purpose of the study was to use BDI-II scores to measure depression symptoms in cancer patients at a large tertiary hospital in Palestine. A convenience sample of 271 cancer patients was used for a cross-sectional survey. There are descriptions of demographic, clinical, and lifestyle aspects. In addition, the BDI-II is a tool for determining the severity of depression. Two hundred seventy-one patients participated in the survey, for a 95% response rate. Patients ranged in age from 18 to 84 years, with an average age of 47 years. The male-to-female ratio was approximately 1:1, and 59.4% of the patients were outpatients, 153 (56.5%) of whom had hematologic malignancies. Most cancer patients ( n  = 104, 38.4%) had minimal depression, while 22.5%, 22.1%, and 17.0% had mild, moderate, and severe depression, respectively. Education level, economic status, smoking status, and age were significantly associated with depression. The BDI-II is a useful instrument for monitoring depressive symptoms. The findings support the practice of routinely testing cancer patients for depressive symptoms as part of standard care and referring patients who are at a higher risk of developing psychological morbidity to specialists for treatment as needed.

Background Osteoarthritis is one of the most common musculoskeletal problems. Pain is the most common complaint and the most significant cause of decreased health-related quality of life (HRQOL) among osteoarthritic patients. The objectives of this study were to assess the impact of pain on quality of life among patients with osteoarthritis and to assess the association of sociodemographic and clinical factors with HRQOL. Methods Using a cross-sectional study design, we collected data from osteoarthritis patients in orthopedic outpatient clinics from four hospitals in the Palestine-West bank between November 2020 and March 2021. We used the Brief Pain Inventory (BPI) scale to assess pain and the Quality of Life scale five dimensions (EQ-5D) with the visual analog scale of the European Quality of Life (EQ-VAS) to assess HRQOL. Results In our study, 196 patients composed the final sample, with an average of 60.12 ± 13.63 years. The medians for the EQ-5D score and EQ-VAS score were 0.72 (0.508–0.796) and 70 (55–85), respectively. The pain severity score was found to have a significant negative association with both the EQ-5D and EQ-VAS scores with r of − 0.620, p  <  0.001, and − 0.554, p  <  0.001, respectively. Similar associations were found between pain interference score and both EQ-5D ( r  = − 0.822, p  <  0.001) and EQ-VAS scores ( r  = − 0.609, p  <  0.001). Multiple regression analysis showed that participants with higher educational level ( p  = 0.028), less diseased joints ( p  = 0.01), shorter duration of disease ( p  = 0.04), and lesser pain severity and interference scores (both with p  < 0.001) had significantly higher HRQOL scores. Conclusions We found that many variables have a significant negative impact on HRQOL among patients with osteoarthritis. Our finding provides a well-founded database to use by clinicians and healthcare professionals who work with patients with osteoarthritis, as well as educational and academic institutions.

Fertility is considered a significant demographic concern, especially in relation to climate change. This study examines how awareness of climate change, measured by five subscales—climate-friendly behavior, knowledge, personal concern, attitude, and multiplicative action—affects fertility intentions, emphasizing the mediating role of threat perception. Data were collected through an online survey administered to a sample of 817 Palestinian citizens aged 18–49 residing in the West Bank. Structural equation modeling (SEM) was utilized for the data analysis. The results revealed that climate change awareness does not directly affect fertility intentions. However, an indirect effect of climate change awareness on fertility intentions was observed, mediated by threat perception as an intervening variable. Individuals exhibiting increased awareness of climate change and perceptions of future risks demonstrated a greater likelihood of reducing their fertility intentions compared to others. Policymakers in the Palestinian territories should prioritize enhancing public awareness regarding climate change and its associated short- and long-term threats. Therefore, incorporating climate education and associated risks into fertility health programs is essential.

COVID-19 vaccine hesitancy has been particularly high among immigrant populations, whose experience is shaped by a history of racism and discriminations, and distrust of the healthcare system. In this study we draw from the Theory of Planned Behavior to examine COVID-19 vaccine hesitancy among immigrants in Chicago. A mixed-methods approach comprising of both focus groups and a health survey was conducted from February to August 2022. Five focus groups were held (N = 35) among Black, Asian and Arab/Palestine participants to understand attitudes and beliefs around the COVID-19 vaccine. Focus groups were analyzed using a modified template approach to text analysis. Based on these findings and themes, we developed a survey that was conducted among 413 immigrants from the mentioned communities. We used hierarchical ordinal regression analyses to examine the relationship between COVID-19 vaccine hesitancy and vaccination status. Qualitative analysis suggest that the major factors influencing COVID-19 vaccine hesitancy included fear of adverse reactions, misinformation around COVID-19 and the vaccine, negative social norms around vaccination, and external pressure to get vaccinated. From our quantitative analysis we found that 24% of participants were unvaccinated, 5% were partially vaccinated, 32.3% were vaccinated but not boosted, and 39% were vaccinated and boosted for COVID-19. Hierarchical regression models suggest that immigrants who hold negative attitudes and social norms around the COVID-19 vaccine are less likely to vaccinate. Understanding vaccine hesitancy among immigrants allows for the creation of culturally and linguistically tailored education that can be utilized to increase vaccine confidence and uptake.

Background Diabetes mellitus (DM) is a common serious health problem. Medication adherence is a key determinant of therapeutic success in patients with diabetes mellitus. The purpose of this study was to assess medication adherence and its potential association with beliefs and diabetes – related knowledge in patients with type II DM. Methods This study was carried out at Al-Makhfia governmental diabetes primary healthcare clinic in Nablus, Palestine. Main outcome of interest in the study was medication adherence. The Beliefs about Medicines Questionnaire (BMQ) was used to assess beliefs. Morisky Medication Adherence Scale (MMSA-8 © ) was used to assess medication adherence. The Michigan diabetes knowledge test (MDKT) was used to assess diabetes – related knowledge. Univariate and multivariate analysis were carried out using Statistical Package for Social Sciences (SPSS 20). Results Four hundred and five patients were interviewed. The mean ± SD age of the participants was 58.3 ± 10.4 (range = 28 – 90) years. More than half (53.3%) of the participants were females. Approximately 42.7% of the study sample were considered non-adherent (MMAS-8 © score of < 6). Multivariate analysis showed that the following variables were significantly associated with non-adherence: disease-related knowledge, beliefs about necessity of anti-diabetic medications, concerns about adverse consequences of anti-diabetic medications and beliefs that medicines in general are essentially harmful. Diabetic patients with high knowledge score and those with strong beliefs in the necessity of their anti-diabetic medications were less likely to be non-adherent ([O.R = 0.87, 95% CI of 0.78 – 0.97] and [O.R = 0.93, 95% of 0.88 – 0.99] respectively). However, diabetic patients with high concerns about adverse consequences of anti-diabetic medications and those with high belief that all medicines are harmful were more likely to be non-adherent ([O.R = 1.09; 95% C.I of 1.04 – 1.16] and [O.R = 1.09, 95% C.I of 1.02 – 1.16] respectively). Conclusions Beliefs and knowledge are important factors in understanding variations in medication adherence among diabetic patients. The BMQ can be used as a tool to identify people at higher risk of non-adherence. Improving knowledge of patients about their illness might positively influence their medication adherence.