Miracle-dz/UniFAR-FTUs huggingface dataset:
Die sexuelle Gretchenfrage: homo- und bisexuelle Menschen im ärztlichen Setting

Zu den grundlegendsten Revolutionen des vergangenen Jahrhunderts gehört die sexuelle zweifellos dazu. Von Freud bis Foucault, von Hirschfeld über Kinsey bis zu Butler haben uns Forschende im Verlauf der letzten 100 Jahre nicht nur die Vielfalt sexuellen Empfindens und Verhaltens, sondern auch den wichtigen Stellen­ wert der Sexualität für die menschliche Existenz aus den unterschiedlichsten Perspektiven gezeigt. Auf dem sozialen Feld hat das zu einer «Enttabuisierung» se­ xueller Themen und zur partiellen Öffnung gegenüber sich selbst als lesbisch, schwul und bisexuell bezeich­ nenden Menschen (LGB) [1] geführt. In der Medizin wiederum kommt heutzutage kein Lehrbuch daran vor­ bei, die Wichtigkeit der Erhebung der Sexualanamnese zu betonen. Womit auf der anderen Seite indirekt – und vielleicht weniger technisch ausgedrückt – zugegeben wird, was offensichtlich ist: Das Gespräch über Sex bil­ det auch in der post­sexrevolutionären Zeit nach wie vor eine der klassischen «schamhaft besetzten Situa­ tionen» einer jeden Anamnese. Dreht sich die vertrau­ liche Unterhaltung nicht nur um das Sexualleben des Patienten1, sondern auch um dessen sexuelles Selbst­ verständnis und die sexuelle Orientierung, so potenzie­ ren sich diese Schwierigkeiten nicht nur aufgrund der bis zu diesem Zeitpunkt (teilweise) tabuisierten Inhalte [1, 2]. Gefährdet wird eine offene Arzt­Patienten­Kom­ munikation über Sex und Sexualität, wenn sich auf der formalen Kommunikationsebene (unreflektierte) hier­ archische Strukturen reproduzieren, in welchen der Mediziner in eine höher stehende Machtposition ver­ setzt wird. In einer solchen Konstellation kann das Ansprechen sexueller Inhalte («Sind Sie etwa schwul? ») sogar kontraproduktiv sein. Weshalb es sich für den be­ handelnden Arzt lohnt, mit seinen Patienten über deren sexuelle Identität und die daraus entstehenden Konse­ quenzen offen zu sprechen und über die eigene Kom­ munikationsweise in diesem Bereich konkret nachzu­ denken, ist Gegenstand des folgenden Artikels.
Dovecots: tourist attraction of Isfahan villages

Today, tourism is considered as one of the major economicactivities in many courtiers. Given the financial resources devoted to and the workforce involved in tourism, it has appeared as a global thriving industry.One of the notable subdivisions of this industry is rural tourism. This kind oftourism has played a considerable role in attracting tourists and in helpingeconomic activities all around the world. Iran is no exception. In this regard,among the cities of Iran, villages of Isfahan have a good potential for ruraltourism. Also, considering the existing problems in Isfahan villages such aswater shortage for irrigation, low agricultural productivity and joblessnessetc, rural tourism may be a reliable economic alternative. Of the oldstructures survived in Isfahan villages, dovecots are especially important.Varity in form and size, fascination of the indoor space as well as harmonywith surrounding nature are among the main rural attractions of the dovecotsfor tourists. Unfortunately, some of the dovecots are disappearing or havebecome deserted. In this connection, the studies so far done on dovecots havemainly examined architectural features of the dovecots as historicalstructures; little attention has been paid to the visual character of them asrural landscapes and tourism attractions. In the present study, afterconducting field observations, collecting and processing data, the conditionsof villages with dovecots were analyzed. Accordingly, 18 villages- based on 11criteria- were compared with each other and then ranked. The villages enjoyingbetter facilities, better accessibility, more dovecots and cultural, historicaland natural attractions were ranked higher. Thus, higher rank villages can beconsidered as potential tourism centers locally and regionally.
Naturally occurring radioactive materials and the regulatory challenges to the zircon industry

not found in high concentrations other than in placer and dune deposits where it has been deposited along with other heavy minerals such as ilmenite, rutile, and monazite. Such deposits have been sorted and concentrated over geological time by the action of tides, waves, and wind to form concentrated deposits of heavy minerals along old coastlines and in river beds and deltas. Consequently, zircon is mostly found in association with the principal titanium minerals ilmenite and rutile. These secondary concentrations in placer deposits provide the commercial sources of zircon. All geological materials contain natural radioactivity, although the term NORM (naturally occurring radioactive material) is mostly used for minerals and other materials with above-average uranium and thorium concentrations. Importantly, the radioactive nature of zircon has not changed, but the way in which radioactivity is viewed by regulators has, affecting the zircon industry throughout the value chain. The Zircon Industry Association (ZIA) has 23 members spanning a good part of the value chain and representing some 80% of the globally traded zircon supply. Geographically, ZIA’s members are in the USA, Latin America, Europe, Africa, and Asia. South Africa accounts for a quarter of the world’s production of zircon, being second only to Australia (40%). Major dunal sand deposits are mined in the coastal regions of ZwaZuluNatal and Namakwaland. ZIA producer members are listed in Table I. This paper describes some of the work that ZIA has commissioned over the past two years to support its members’ NORM activities, as well as on the impact of Europe’s REACH (Registration, Evaluation and Authorisation of Chemicals) regulations and their derivatives around the world.
Rural Students Development of the Conception of Economic Inequality.

Three socioeconomic classes of rural students ages 6 to 18 were interviewed about their conceptions of the rich and poor and economic inequality. The 114 students in the sample were divided as follows: (1) middle class, 23; (2) working class, 61; and (3) lower class, 30. Responses of the students are analyzed according to Leahy's categories of descriptions of the rich and poor. These categories are (1) peripheral, referring to possessions, appearances, and 'shaviors; (2) central, referring to traits and thoughts; and (3) sociocentric, referring to life chances and class consciousness. Central characteristics, use of which increased with the respondent's age, were most frequently employed in defining classes of persons. Sociocentric responses were evident in describing the rich, while peripheral responses were used to describe the poor. Subjects seemed unable to explain inequalities in wealth. Both younger and older children viewed personal effort within the existing social structure as the main means of increasing wealth. It is suggested that rural children, though less isolated by socioeconomic class than urban children, may reflect a belief of limited socioeconomic mobility. Findings are interpreted from the perspective of three theoretical systems: cognitive developmental, functionalist, and conflict. Tentative implications for the social studies curriculum of elementary, junior, and senior high schools are presented. Includes 26 references and appendices. (CS) 300000(xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*xxxxxxxxxxxxxxxxxxxx*xxxlm Reproductions supplied by EDRS are the best that can be made * from the original document. * mmoommoom00000000000(*xxxxxxxxxxxxxxxxxxx*xxxxxxxxxxxxxxxxxxxx*xxxx Economic Me <c, . MAY1988 cY: (\: RECE1 vED ,--ERIC/CRESS i 1? ) -, Rural Students Development of the Conception of Economic Inequality Cynthia Szymanski Sunal West Virginia University Perry D. Phillips West Virginia University "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY (? ytt/4413A 5u NA l.) PEQ-(2D. Pff. MPS TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)" 6281 LzsO, U S. DEPARTMENT OF EDUCATION Office 0 Edur.afional Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization ortginatIng It r Minor changes have been made to Improve reproduction quality Pont ts of vIew or opinions staled in this docu ment do not oleCeSSarlly represent otfloat OEM positron or policy
An Adaptive and Robust Device-Free Intrusion Detection Using Ubiquitous WiFi Signals

In recent years, the device-free intrusion detection system is advanced greatly and redefined some services, such as home security and baby monitoring. Up to now, there are emerging many intrusion detection systems which employ different devices such as camera and sensors. However, most of them have privacy concerns and the burden of additional sensors. Using WiFi intrusion detection approaches can achieve a pretty good detection rate, while the intrusion detection profiles may easily drift with environment change, e.g. the changes caused by the movement of router. To address these issues, we propose a whole-home level intrusion detection system based on RSSI (Received Signal Strength Indictor) measurements of WiFi. It builds RSSI characteristic profiles by using non-parametric statistical method and uses a joint detection scheme by using multiple data streams of WiFi node pairs. Further, in order to increase the adaptability and robustness of the system, we develop an auto-updating approach for reference profiles by detecting distribution change and the fluctuation of RSSI parameters. Experimental results demonstrate that the proposed system can achieve the consistent detection rate closing to 100% and the updating method can rescue the detection rate from 37.5% to 96.1% in practical rooms’ environment.
Writing Skills in Practice: A Practical Guide for Health Professionals

Introduction. Section 1: Writing for Clinical Practice. 1. The purpose of written material. 2. How to record information. 3. The legal framework. 4. Record keeping 5. Reports/letters 6. Information leaflets for clients Section 2: Writing for Teaching and Learning. 7. Writing as an aid to learning. 8. Preparing materials for teaching. 9. Note-taking 10. Essays 11. Assessment. 12. Dissertations 13. Research projects. Section 3: Writing for Publication. 14. Developing an idea. 15.Managing your time effectively. 16. Determining your style. 17. Getting the best out of your personal computer. 18. Presenting your work. 19. Protecting your rights. 20. Journal articles 21. Books 22. Articles for the media. References. Index.
Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

Understanding and forecasting user visits is of great importance for a variety of tasks, e.g., online advertising, which is one of the most profitable business models for Internet services. Publishers sell advertising spaces in advance with user visit volume and attributes guarantees. There are usually tens of thousands of attribute combinations in an online advertising system. The key problem is how to accurately forecast the number of user visits for each attribute combination. Many traditional work characterizing temporal trends of every single time series are quite inefficient for large-scale time series. Recently, a number of models based on deep learning or matrix factorization have been proposed for high-dimensional time series forecasting. However, most of them neglect correlations among attribute combinations, or are tailored for specific applications, resulting in poor adaptability for different business scenarios.Besides, sophisticated deep learning models usually cause high time and space complexity. There is still a lack of an efficient highly scalable and adaptable solution for accurate high-dimensional time series forecasting. To address this issue, in this work, we conduct a thorough analysis on large-scale user visits data and propose a novel deep spatial-temporal tensor factorization framework, which provides a general design for high-dimensional time series forecasting. We deployed the proposed framework in Tencent online guaranteed delivery advertising system, and extensively evaluated the effectiveness and efficiency of the framework in two different large-scale application scenarios. The results show that our framework outperforms existing methods in prediction accuracy. Meanwhile, it significantly reduces the parameter number and is resistant to incomplete data with up to 20% missing values.
Rebounding case notifications of chlamydia : an epidemiological game of 'Clue'?

The genus Chlamydiae encompasses a unique class of obligate intracellular bacteria that can cause disease in a wide range of animals. In humans, Chlamydia trachomatis infections are common and are frequently observed in diseases of the eye, genital and respiratory tracts. Prevalent worldwide, Chlamydia infections can progress to chronic inflammatory sequellae and are the leading cause of curable sexually transmitted disease and preventable blindness. After falling in the face of intensified control efforts, case notifications of sexually transmitted Chlamydia in many countries are rising. In many jurisdictions, this unprecedented rise of Chlamydia case notifications has occurred after the introduction of wide spread control programs, and has been discussed to be a result of either increased testing volume, improvements to testing technologies, changes in sexual behaviour, or increased reinfection rates brought about by deleterious effects of treatment on acquired immunity. This thesis seeks to answer the question of why are observed Chlamydia case notifications rebounding? I have attempted to answer this question using simple dynamical models of Chlamydia transmission framed from immunological and epidemiological perspectives. Model structures are drawn from frameworks previously used for studying sexually transmitted infections, and represent a combination of theoretical and data-oriented formulations, as well as different (hierarchical) ecological scales. The results of this thesis highlight that increased testing volumes, rather than changes in the sensitivity and specificity of testing technologies, sexual behaviour, or truncated immunological responses brought about by treatment can explain the increase in observed chlamydia case notifications, and that simple explanations for these observed rates appear to have been dismissed in favor of an increase to the underlying prevalence. In addition to providing insights into current epidemiological trends, this thesis has also been able to produce significant insights into the natural history of chlamydial infection. In particular, the phenotype of an individual’s immunobiology that results from multiple chlamydial infections suggests that longer periods between initial and repeat infection may increase an individual’s chlamydial load, their duration of infection, as well as non-intuitively the formation of protective immunity, persistent infection, and the potential for immunopathogenesis. Additional population-scale analyses suggest the existence of a period of immunity that is, on average, much longer lasting than currently discussed in contemporary literature. The results of this research outline a potential way forward through filling several gaps in the immunological and epidemiological understanding of Chlamydia infections that involves both reviewing existing data as well as continued research using “systems science” approaches.
Skills gaps and training needs in the tourism sector in Malawi

Tourism is one of the major industries that contributes to economic development in many countries including Malawi. However, for the industry to reach its full potential in generating growth and employment there is need to ensure that required skills are available for the industry to tap from. The need for skills is even greater now than ever before due to globalization forces. Globalization and increasing competition mean that the ability of the human factor to deliver quality products and services is a key source of competitive advantage worldwide. There is greater need now than before for employees in the sector to possess additional skills that go beyond core hospitality operations. Regardless of this realization there still exists skills gaps between those that students have and those that industry demand. Therefore, this paper aims at assessing the skills gaps and training needs in the tourism industry in Malawi. Both quantitative and qualitative data collection methods were used in the study. The results show that tertiary institutions focus more on the theoretical knowledge delivery and provide less practical experiences to the students, yet the industry requires more practical knowledge. There are serious skills and knowledge gaps in the accommodation services, food and beverage services, travel services and attractions and transport services in Malawi. It is recommended that students should be provided with more internship opportunities before their graduation to ensure that they acquire some basic requisite practical skills.
CAR-Engineered NK Cells for the Treatment of Glioblastoma: Turning Innate Effectors Into Precision Tools for Cancer Immunotherapy

Glioblastoma (GB) is the most common and aggressive primary brain tumor in adults and currently incurable. Despite multimodal treatment regimens, median survival in unselected patient cohorts is <1 year, and recurrence remains almost inevitable. Escape from immune surveillance is thought to contribute to the development and progression of GB. While GB tumors are frequently infiltrated by natural killer (NK) cells, these are actively suppressed by the GB cells and the GB tumor microenvironment. Nevertheless, ex vivo activation with cytokines can restore cytolytic activity of NK cells against GB, indicating that NK cells have potential for adoptive immunotherapy of GB if potent cytotoxicity can be maintained in vivo. NK cells contribute to cancer immune surveillance not only by their direct natural cytotoxicity which is triggered rapidly upon stimulation through germline-encoded cell surface receptors, but also by modulating T-cell mediated antitumor immune responses through maintaining the quality of dendritic cells and enhancing the presentation of tumor antigens. Furthermore, similar to T cells, specific recognition and elimination of cancer cells by NK cells can be markedly enhanced through expression of chimeric antigen receptors (CARs), which provides an opportunity to generate NK-cell therapeutics of defined specificity for cancer immunotherapy. Here, we discuss effects of the GB tumor microenvironment on NK-cell functionality, summarize early treatment attempts with ex vivo activated NK cells, and describe relevant CAR target antigens validated with CAR-T cells. We then outline preclinical approaches that employ CAR-NK cells for GB immunotherapy, and give an overview on the ongoing clinical development of ErbB2 (HER2)-specific CAR-NK cells currently applied in a phase I clinical trial in glioblastoma patients.
Domain Ordering and Box Cover Problems for Beyond Worst-Case Join Processing

Join queries are a fundamental computational task in relational database management systems. For decades, complex joins were most often computed by decomposing the query into a query plan made of a sequence of binary joins. However, for cyclic queries, this type of query plan is sub-optimal. The worst-case run time of any such query plan exceeds the number of output tuples for any query instance. Recent theoretical developments in join query processing have led to join algorithms which are worst-case optimal, meaning that they run in time proportional to the worstcase output size for any query with the same shape and the same number of input tuples. Building on these results are a class of algorithms providing bounds which go beyond this worst-case output size by exploiting the structure of the input instance rather than just the query shape. One such algorithm, Tetris, is worst-case optimal and also provides an upper bound on its run time which depends on the minimum size of a geometric box certificate for the input query. A box certificate is a subset of a box cover whose union covers every tuple which is not present in the query output. A box cover is a set of n-dimensional boxes which cover all of the tuples not contained in the input relations. Many query instances admit different box certificates and box covers when the values in the attributes’ domains are ordered differently. If we permute the input query according to a domain ordering which admits a smaller box certificate, use the permuted query as input to Tetris, then transform the result back with the inverse domain ordering, we can compute the query faster than was possible if the domain ordering was fixed. If we can efficiently compute an optimal domain ordering for a query, then we can state a beyond worst-case bound that is stronger than what is provided by Tetris [1]. This thesis defines several optimization problems over the space of domain orderings where the objective is to minimize the size of either the minimum box certificate or the minimum box cover for the given input query. We show that most of these problems are NP-hard. We also provide approximation algorithms for several of these problems. The most general version of the box cover minimization problem we will study, BoxMinPDomF, is shown to be NP-hard, but we can compute an approximation of size Õ((K∗ ) a·r), where K∗ is the minimum box cover size under any domain ordering, a is the maximum degree of an attribute in the query graph, and r is the maximum number of attributes in a relation. This result allows us to compute join queries in time Õ(N + (K∗ ) a·r·(w+1) +Z), where N is the number of input tuples, w is the treewidth of the query, and Z is the number of output tuples. This is a new beyond worst-case bound. There are queries for which this bound is exponentially smaller than any bound provided by Tetris.
Genetic Predisposition and Salt Sensitivity in a Chinese Han Population: The EpiSS Study

Objectives Genome-wide association studies and candidate gene studies have found many single nucleotide polymorphisms (SNPs) that affect salt sensitivity (SS). We constructed a polygenic risk score (PRS) to estimate the joint effect of these SNPs on SS. Methods We recruited 762 Chinese participants into the study. An unweighted PRS was constructed using 42 known genetic risk variants associated with SS or salt sensitivity blood pressure. A modified Sullivan's acute oral saline load and diuresis shrinkage test was used to detect salt sensitivity. Logistic regression was used to estimate the joint effect of the SNPs on SS both overall and after stratification by hypertension. Results The mean age of the participants was 57.1 years, and most of them were female (77.4%). The prevalence of SS was 28.7%. Both the continuous PRS and PRS tertiles were significantly associated with the risk of SS and a BP increase of more than 5 mmHg during acute salt loading but were not associated with a BP decrease of more than 10 mmHg during the diuresis shrinkage process. In the normotensive group, participants with PRSs in the middle and top tertiles had a more than twofold increased risk of SS (OR = 2.18, 95% CI: 1.15–4.12, P = 0.016, and OR = 2.28, 95% CI: 1.19–4.38, P = 0.016, and OR = 2.28, 95% CI: 1.19–4.38, P = 0.016, and OR = 2.28, 95% CI: 1.19–4.38, P = 0.016, and OR = 2.28, 95% CI: 1.19–4.38, Conclusion The 42 investigated SNPs were jointly and significantly associated with SS, especially in the normotensive Chinese population. These findings may provide genetic evidence for identifying target populations that would benefit from salt restriction policies.