bluuebunny/crossref_metadata_2025 huggingface dataset:
I don’t have this huge backlog of good feeling for her: Role-relational trajectories in interview accounts of caring for a relative with dementia
Authors: Kruk Bartłomiej
Published: September 2022

Caring for a family member with dementia involves multifaceted relational issues linked to the construction of caregiving as an emotional, symbolic and morally sanctionable practice inscribed in kin relations and dominant femininity (Paoletti 2007). As the disease disrupts taken-for-granted expectations for a person with dementia and the entire family, this qualitatively new situation necessitates the (re)negotiation of kin roles and responsibilities (Peel 2017; Purves 2011). By applying conversation analysis and membership categorization analysis to an audio-taped open-ended interview with an American female caregiver, this paper investigates in-depth how she discursively navigates complex familial role-relational trajectories while assisting her mother with dementia. The study examines the situatedness of role vis-á-vis self-other relations with assumptions about categories within the membership categorization devices ‘family’ and ‘gender’ being critical to this process. It documents how the participant contextualizes care experience not only in the standardized relational pair ‘daughter-mother’ but brings into focus a broader constellation of historical, contemporaneous or hypothetical aspects of kinship ties (e.g., with her parents, siblings or children), each of which invokes distinct expectations, responsibilities and loyalties which sometimes competing with other relations. The study thus exposes certain commonsense propositions concerning normative family role-relationships which function as powerful benchmarks for making life choices, interpreting one’s experiences, and morally evaluating oneself and others while providing care to kin with dementia.
Toward a transdisciplinary approach to FL classroom interaction
Authors: Ciepiela Kamila
Published: September 2022

The focus of the article is on the questions and issues that have arisen in research on communication in second language contexts, as well as possibilities of addressing them that open up when one moves to the understanding of scientific inquiry as “a form of anti-disciplinary or transgressive knowledge, as a way of thinking and doing that is always problematizing” (Pennycook 2007: 37).

The article aims to point to some issues in research on communication in a FL classroom where a transdisciplinary approach might prove useful or even necessary to address them. An expanded analysis of a classroom discussion carried out within Hymes’ model that includes different modes and forms of communication as well as aspects of on-goingly changing contexts should illustrate the benefits of applying a transdisciplinary approach in research on communication  in a second language classroom.
A critical look at partial acceptability in English and Polish
Authors: Żychliński Sylwiusz
Published: September 2022

This paper is primarily concerned with the role of partial acceptability (and its ‘flavors’) in English linguistic examples taken from the field of generative grammar. Partially acceptable judgments as a subset of acceptability judgments form a heterogeneous group that plays a significant role in linguistic research and yet the extent to which partial acceptability is employed in the linguistic literature has not been studied extensively. The first part of the paper discusses a number of relevant issues related to the use of partial acceptability, such as problems with the conceptualization of gradience or excessive creativity with regard to levels of acceptability present in generative papers. The second part of the paper reports on a meta-linguistic study of partial acceptability in a pre-selected corpus of generative papers on English, with the focus on the types of partial acceptability and their function. Lastly, the English results are compared with the results of a previously conducted similar study of partial acceptability in Polish.
New vs. similar sound production accuracy: The uneven fight
Authors: Sypiańska Jolanta , Constantin Elena-Raluca
Published: September 2022

The Speech Learning Model states that the process of equivalence classification reduces the accuracy of a similar L2 sound by forming an L1-L2 merged category whereas new sounds tend to be pronounced with greater accuracy due to lack of perceptual linkage with an L1 category (Flege 1995). We found further support for this differentiation in the production of the canonical schwa as a new sound by L1 Polish/L2 English speakers and as a similar sound by L1 Romanian/L2 English speakers, who produced an L1-L2 schwa merger. The aim of the current paper is to further investigate the production accuracy of new and similar sounds. First of all, a control group that consisted of native Romanian speakers was used to analyse the L1-L2 similar sound merger. Secondly, a measure of overall pronunciation ability based on foreign accent ratings (FAR) was included. The results confirm that production accuracy for new sounds is much greater than for similar sounds which form merged diaphones with the equivalent L1 sound. As a result, neither sound is produced on target when compared to a native speaker reference. Moreover, new sound production accuracy benefits much more from an increase in general proficiency and overall L2 pronunciation ability.
Otizm Spektrum Bozukluğu Olan Çocukların Deneyimledikleri Akran Zorbalığı: Sistematik Bir Derleme
Authors: ÇULHAOĞLU Özge , AKMANOĞLU Nurgül
Published: September 2022

The aim of this study is to conduct a comprehensive descriptive analysis by examining the quantitative studies on peer bullying for children with Autism Spectrum Disorder (ASD) in terms of demographic characteristics, methodological characteristics and results related variables. Accordingly, 44 studies were obtained in the first search in Eric, ProQuest, Scopus, ScienceDirect, EbscoHOST, Google Scholar databases by typing the determined keywords. As regards to the inclusion and exclusion criteria, a total of 13 articles were published between 2011 and 2021 in the research. The results of the research indicate that children with ASD are bullied more than their other peers, that their bullying is caused by the diagnostic characteristics of these children, and that this experience affects the psychosocial states of children (eg, anxiety, depression). It is expected that the findings obtained from the research will guide researchers and practitioners who will work on peer bullying.
Üniversite Öğrencilerinin Bilinçli Farkındalık ve Duygu Düzenleme Düzeylerinin Üst Duyguları Yordama Gücü
Authors: TURP Hurızat Hande , DOĞAN LAÇİN Betül Gökçen
Published: September 2022

Bu çalışma, ilk olarak üniversitede öğrenim gören bireylerin üst duygu düzeylerinin cinsiyete göre incelenmesi ve ikinci olarak da bilinçli farkındalık ve duygu düzenleme becerilerinin birlikte, üst duyguyu yordama durumunu incelemek amacıyla yapılmıştır. Bu iki amaç doğrultusunda, 2020-2021 eğitim öğretim yılında Türkiye’nin çeşitli üniversitelerinde öğrenim görmekte olan 748’i kadın, 302’si erkek toplam 1050 öğrenciye ulaşılmıştır. Katılımcılara; kişisel bilgi formu, Duygu Düzenleme Ölçeği, Bilinçli Farkındalık Ölçeği ve Üst Duygu Ölçeği uygulanmıştır. Verilerin analizinde t-testi ve çoklu doğrusal regresyon analizi kullanılmıştır. Yapılan analizler sonucunda, üniversite öğrencilerinin olumlu üst duygularının cinsiyete göre anlamlı bir fark gösterdiği; olumsuz üst duyguların cinsiyete göre anlamlı bir fark göstermediği bulgulanmıştır. Ayrıca, bilinçli farkındalık ve duygu düzenleme becerilerinin olumlu ile olumsuz üst duyguları anlamlı düzeyde yordadığı saptanmıştır. Bulgular, ilgili alanyazın içinde tartışılmış ve çeşitli önerilerde bulunulmuştur.
Okul Öncesi Dönem Çocuklarının Erken Düşünme Becerileri İle Bağımsız Öğrenme Davranışları Arasındaki İlişki
Authors: ÖZCAN Mihriban
Published: September 2022

Okul öncesi dönem çocuklarının erken düşünme becerileri ile bağımsız öğrenem davranışları arasındaki ilişkiyi incelemek amacıyla yapılan bu araştırma nicel araştırma desenlerinden yordayıcı korelasyonel araştırma deseninde tasarlanmıştır. Türkiye geneli 2019-2020 eğitim öğretim yılında okul öncesi eğitimine devam eden 48-71 aylık 322 çocuk araştırmanın çalışma grubunu oluşturmaktadır. Araştırmada veri toplama aracı olarak Erken Düşünme Becerileri Ölçeği ve Bağımsız Öğrenme Davranışları Ölçeği(3-5) kullanılmıştır. Araştırma grubunun betimsel istatistik sonuçları incelenmiş ve değişkenler arasındaki ilişkiyi belirlemek amacıyla Pearson Momentler Çarpımı Korelasyonu analizi yapılmıştır. Ek olarak erken düşünme becerileri ölçeğinin alt boyutlarının ve cinsiyetin çocukların bağımsız öğrenme davranışlarını yordayıp yordamadığını belirlemek amacıyla hiyerarşik regresyon analizi yapılmıştır. Araştırmanın sonucunda, eleştirel düşünme, yaratıcı düşünme ve problem çözme karar verme becerileri ile bağımsız öğrenme davranışları arasında yüksek düzeyde ve pozitif yönde anlamlı ilişkinin olduğu görülmektedir. Başka bir deyişle eleştirel düşünme, yaratıcı düşünme ve problem çözme-karar verme becerileri arttıkça, bağımsız öğrenme davranışları da arttığı sonucuna ulaşılmıştır. Ek olarak kız ve erkek çocukların eleştirel düşünme, yaratıcı düşünme ve problem çözme-karar verme becerilerinin bağımsız öğrenme davranışları üzerinde erkek çocukların lehine anlamlı farklılık gösterdiği bulgusuna ulaşılmıştır.
Otizm Spektrum Bozukluğu Olan Bireylere Sosyal Tepki Davranışlarının Öğretimine İlişkin Araştırmaların Değerlendirilmesi
Authors: GÖKÇE Selin , ÜLKE KÜRKÇÜOĞLU Burcu
Published: September 2022

Bu çalışmanın amacı, 20 yılı aşkın sürede OSB olan çocuklara duyguları anlama ve ifade etme, sözel ifade, yüz ifadeleri, jestler ve tonlama bileşenlerinden oluşan sosyal tepki davranışlarının öğretimine yönelik müdahalelerin etkisini sınayan çalışmaları; demografik, yöntem ve bulgu değişkenleri açısından inceleyerek kapsamlı bir betimsel analiz yapmaktır. Bir üniversitenin toplu veri tabanlarında, anahtar kelimeler kullanılarak ilk tarama yürütülmüştür. Taramadaki 112 çalışmaya kaynakçaların gözden geçirilmesi ile iki çalışma daha eklenerek toplamda 114 çalışmaya ulaşılmıştır. Bu çalışmalar dahil etme ölçütleri olarak (a) Ocak 2000-Mayıs 2020 yılları arasında yürütülmesi, (b) hakemli dergilerde İngilizce ve Türkçe dillerinden biriyle yayımlanması, (c) katılımcılardan en az birinin OSB tanısının olması, (d) nicel ve nitel araştırma yöntemleriyle tasarlanması ve (e) sosyal tepki davranışlarından (sözel ifade, yüz ifadesi, jestler, tonlama) en az birinin öğretiminin hedeflenmesi açısından incelenmiştir ve 36 çalışma araştırma kapsamına alınmıştır. Çalışmanın sonucunda, son yıllardaki çalışmalarda farklı yaşlarda olan OSB olan bireylere, tüm sosyal tepki davranışlarının öğretimi için çoğunlukla ve etkili olarak teknoloji temelli uygulamaların kullanıldığı görülmüştür. Araştırmanın bulguları tartışılarak ileri araştırmalara yönelik önerilerde bulunulmuştur.
Bulut Bilişim Teknolojilerinin İş birliğine Dayalı Öğrenme Aktiviteleri ile Entegrasyonu
Authors: HAMUTOĞLU Nazire Burçin
Published: September 2022

Bu çalışmada Bulut Bilişim Teknolojileri (BBT) ile desteklenmiş ve BBT ile desteklenmemiş iş birlikli öğrenme etkinlikleri ortamlarının üniversite öğrencilerinin BBT kabul, paylaşmaya uygunluk ve öğrenme performanslarına etkisinin belirlenmeyi amaçlamakta olup 2x3 faktöriyel desene uygun olarak yürütülmüştür. Çalışmanın katılımcıları Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü 1. sınıfta öğrenim görmekte olan 57 öğrenciden oluşmaktadır. BBT ile desteklenmiş iş birlikli öğrenme ortamında Google Classroom platformu ve Google Drive ortamı kullanılmış olup doküman (docs), sunum (slides), e-tablo (e-table) ve form (forms) araçları ile iş birlikli öğrenme aktiviteleri gerçekleştirilmiştir. Elde edilen sonuçlar BBT’nin kullanıldığı grubun BBTK 3 ölçeğinden aldıkları son test puanları üzerinde artış olduğunu, ancak bu artışın diğer grupla kıyaslandığında anlamlı olmadığını göstermektedir. Ayrıca deney gruplarında uygulanan işlemin grup çalışmalarında paylaşmaya uygunluk puanları üzerinde yükselişe neden olduğu, ancak bu yükselişin gruplar arasında anlamlı olmadığı görülmektedir.
On the number of prime divisors and radicals of non-zero Fourier coefficients of Hilbert cusp forms
Authors: Naik Sunil L.
Published: September 2022

In this article, we derive lower bounds for the number of distinct prime divisors of families of non-zero Fourier coefficients of non-CM primitive cusp forms and more generally of non-CM primitive Hilbert cusp forms. In particular, for the Ramanujan Δ-function, we show that, for anyϵ>0\epsilon>0, there exist infinitely many natural numbers 𝑛 such thatτ⁢(pn)\tau(p^{n})has at least

2(1-ϵ)⁢log⁡nlog⁡log⁡n2^{(1-\epsilon)\frac{\log n}{\log\log n}}

distinct prime factors for almost all primes 𝑝. This improves and refines the existing bounds. We also study lower bounds for absolute norms of radicals of non-zero Fourier coefficients of modular forms alluded to above.
Research on computer static software defect detection system based on big data technology
Authors: Li Zhaoxia , Zhu Jianxing , Arumugam K. , Bhola Jyoti , Neware Rahul
Published: September 2022

To study the static software defect detection system, based on the traditional static software defect detection system design, a new static software defect detection system design based on big data technology is proposed. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. It is found that the traditional static software defect detection system design based on code source data takes a long time, averaging 65 h /day. However, the traditional static software defect detection system based on deep learning has a short detection time, averaging 35 h/day. In this article, the detection time of the static software defect detection system based on big data is shorter than that of the other two traditional system designs, with an average of 15 h/day. Because the system design adjusts the operating state of the system, it improves the accuracy of data operation. On the premise of data collection, the system inspection research is completed, which ensures the operational safety of software data, alleviates the contradiction between system and data to a high degree, improves the efficiency of system operation, reduces unnecessary operations, further shortens the time required for inspection, improves the system performance, and has higher research and operation value.
Education physique, conduites motrices et sémiose : pour une éducation sémiotrice
Authors: Torki Ahmed , Bordes Pascal , Nefil Iman , Aracama Astrid , Martínez-Santos Raúl
Published: September 2022

La sémiotricité se propose comme un moyen incontournable si l’on veut approfondir les registres symboliques de l’action motrice. Dans le domaine de l’éducation physique et sportive, les élèves apprennent à identifier et à détecter des indices signifiants dans l’environnement physique dans lequel ils évoluent. Un élève en situation de jeu, observe les comportements d’autrui et apprend à deviner les prolongements de leurs actes en vue d’anticiper des enchaînements d’actions et à conformer ses conduites aux comportements qu’il pré-perçoit. Ce faisant, il participe à un processus de symbolisation ou de sémiotricisation.

Étant entendu que cette sémiotricisation est liée à la logique interne de la pratique, il est clair que l’adaptabilité sémiotrice dépondra des caractéristiques des activités retenues dans les programmes pédagogiques. Cet article se propose, à partir d’une analyse comparative entre trois programmes d’Education Physique et sportive (Algérie, France, et Espagne), et des corpus d’études traitant de cette question, de mettre en premier plan l’importance des choix pédagogiques dans l’accès à la symbolisation et dans la construction de la personnalité de l’enfant.
A hálózatosodás és kooperáció jó gyakorlatai a Baranya megyei nemzetiségi önkormányzatok tevékenységében
Authors: Reisz Terézia
Published: September 2022

A PTE BTK HFMI kutatócsoportja a Nemzeti Művelődési Intézet Közművelődési Tudományos Kutatási Program pályázatának támogatásával 2021 szeptembere és 2022 augusztusa között bonyolítja le „Kultúraközvetítés és közösségi élet a Baranya megyei nemzetiségek körében” című kutatását. A szervezeti formára, a működési terület településtípusára reprezentatív kutatás központi kérdése az önkormányzatok kulturális és közösségi tevékenységének vizsgálatára irányul.  Az önkormányzati vezetők körében 2021 októberében lebonyolított fókuszcsoportos beszélgetés, továbbá a 30 vezetővel 2021 novembere és 2022 márciusa között készített strukturált interjú adatai arról tudósítanak, hogy a nemzetiségi önkormányzatok tevékenységei igen sokfélék, a törvényi előírásokat meghaladják. Látható az is, hogy a különféle szervezetekhez kötődő kapcsolataik is sajátos rendszerekké épültek ki. Kiterjednek a nemzetiségi és a többségi önkormányzatiság felsőbb országos fórumaira, a megyei és települési önkormányzatokra, a saját nemzetiségük és további más nemzetiségiek civil szervezeteire, a helyi és térségi kulturális-, oktatási intézményekre, a helyi gazdaság aktoraira, valamint a hazai és külföldi testvértelepülések szervezeteire.
Fizikai és szellemi kompetenciák mérése az Ormánságban élő 45 év feletti munkavállalók körében
Authors: Pohl Marietta , Tibold Antal , Pankász Balázs , Nemeskéri Zsolt
Published: September 2022

Tanulmányunk a GINOP-5.3.5-18-2019-00105 számú projekt keretében készült el, az Ormánságban élő 45 év feletti munkavállalók fizikai és szellemi kompetenciáinak mérése, munkaalkalmasságuk vizsgálata témakörében. A projekt célterületén, az Ős-Dráva Projekt tervezési területének 43 településén - elsősorban Baranya megye, Somogy egyes településeit is érintve - hozzávetőleg 1200 fő 45 év feletti személy él. A projekt benyújtásakor az idősödő korosztály a regisztrált álláskeresők körében meghaladta a 20%-ot. A baranyai álláskeresők aránya pedig kedvezőtlenebb volt az országos adatokhoz képest, a foglalkoztatási ráta 58,4% volt, mely érték 2,0 százalékponttal alacsonyabb az országos átlagnál, 14.074 fő szerepelt a regisztrált álláskeresők között a célterületről.

A projekt lehetőséget teremtett egy pilot program elindítására, olyan módszertan továbbfejlesztésére és kipróbálására, amely a fizikai és szellemi kompetenciákat átfogóan, egymásra gyakorolt hatásaiban vizsgálta, ErgoScope és kérdőívek segítségével. Az elmúlt két évtizedben a kompetencia fontos fogalommá vált a munkaerőpiaci vizsgálatokban és a munkaerő kiválasztás gyakorlatában egyaránt. Mivel az álláskereső kompetenciái magukban hordozzák az eredményes és hatékony munkavégzés ígéretét, így jelen felmérés keretében is kiemelt szempont volt a kompetenciák feltárása.

A projektidőszak alatt 50 fő munkaképességének felmérésére nyílt lehetőség, valamint 250 célcsoporttag munkaerőpiaci alkalmazkodást segítő programban vett részt, illetve a kutatási eredmények bemutatása is megvalósult, információt nyújtva a célterület munkáltatói és a munkaerőpiaci szolgáltató szervezetek számára.
AQP4-A25Q Point Mutation in Mice Depolymerizes Orthogonal Arrays of Particles and Decreases Polarized Expression of AQP4 Protein in Astrocytic Endfeet at the Blood–Brain Barrier
Authors: Zhu Dan-Dan , Yang Guang , Huang Yue-Lin , Zhang Ting , Sui Ao-Ran , Li Na , Su Wei-Heng , Sun Hai-Lun , Gao Jing-Jing , Ntim Michael , Guan Rong-Xiao , Jin Ling-Ling , Yu Jian , Huang Zhi-Yong , Ma Tong-Hui , Li Shao
Published: September 2022

Aquaporin-4 (AQP4) is characterized by the formation of orthogonal arrays of particles (OAPs) comprising its M1 and M23 isoforms in the plasma membrane. However, the biological importance of OAP formation is obscure. Here, we developed an OAP depolymerization male mouse model by transgenic knock-in of an AQP4-A25Q mutation. Analyses of the mutant brain tissue using blue native polyacrylamide gel electrophoresis, super-resolution imaging, and immunogold electron microscopy revealed remarkably reduced OAP structures and glial endfeet localization of the AQP4-A25Q mutant protein without effects on its overall mRNA and protein expression.AQP4A25Q/A25Qmice showed better survival and neurologic deficit scores when cerebral edema was induced by water intoxication or middle cerebral artery occlusion/reperfusion. The brain water content and swelling of pericapillary astrocytic endfeet processes inAQP4A25Q/A25Qmice were significantly reduced, functionally supporting decreased AQP4 protein expression at the blood–brain barrier. The infarct volume and neuronal damage were also reduced inAQP4A25Q/A25Qmice in the middle cerebral artery occlusion/reperfusion model. Astrocyte activation in the brain was alleviated inAQP4A25Q/A25Qmice, which may be associated with decreased cell swelling. We conclude that the OAP structure of AQP4 plays a key role in its polarized expression in astrocytic endfeet processes at the blood–brain barrier. Therefore, our study provided new insights into intervention of cerebral cellular edema caused by stroke and traumatic brain injury through regulating AQP4 OAP formation.

SIGNIFICANCE STATEMENTAquaporin-4 (AQP4) is characterized by orthogonal arrays of particles (OAPs) comprising the M1 and M23 isoforms in the membrane. Here, an OAP depolymerization male mouse model induced by AQP4-A25Q mutation was first established, and the functions of OAP depolymerization in cerebral edema have been studied. The results revealed that AQP4 lost its OAP structure without affecting AQP4 mRNA and protein levels in AQP4-A25Q mice. AQP4-A25Q mutation mice has neuroprotective effects on cerebral edema induced by water intoxication and middle cerebral artery occlusion/reperfusion through relieving the activation of astrocytes and suppressed microglia-mediated neuroinflammation. We concluded that the OAP structure of AQP4 plays a key role in its polarized expression in astrocytic endfeet processes at the blood–brain barrier. Therefore, our study provided new insights into intervention of cerebral cellular edema caused by stroke and traumatic brain injury through regulating AQP4 OAP formation.
“pack in. pack out. and pack your heels hunni”: Ecodrag and Ecoqueer Instagram
Authors: Anderson Jill E.
Published: September 2022

This article examines Instagram as ecomedia uniquely positioned to provide spaces for members of marginalized communities to find each other and to see themselves in the outdoors. This visibility is an essential step in forming virtual coalitions as well as providing visual representations of how to take up space in the outdoors as well as revising masculinist stereotypes that connect men with the domination and destruction of the nonhuman world. This article looks at the ecodrag of @pattiegonia, an environmental advocate drag queen, who uses Instagram as her main medium. Through her Instagram account and her outside advocacy, she dismantles the gender binary, performs an ecologically conscious drag, and challenges the oppressive narratives of “real” and “natural” manhood in ways that multiply the possibilities for new forms of ecomedia.
Intrauterine LPS inhibited arcuate Kiss1 expression, LH pulses, and ovarian function in rats
Authors: Magata Fumie , Toda Lisa , Sato Marimo , Sakono Takahiro , Chambers James K , Uchida Kazuyuki , Tsukamura Hiroko , Matsuda Fuko
Published: September 2022

In brief

Uterine inflammatory diseases are a major cause of infertility in humans and domestic animals. The current findings that intrauterine lipopolysaccharide is absorbed in systemic circulation and attenuates ovarian cyclic activities could provide a basis for developing novel treatments to improve fertility.

Uterine inflammatory diseases are a major cause of infertility in humans and domestic animals. Circulating lipopolysaccharide (LPS), a bacterial endotoxin causing uterine inflammation, reportedly downregulates the hypothalamic–pituitary–gonadal axis to mediate ovarian dysfunction. In contrast, the mechanism whereby intrauterine LPS affects ovarian function has not been fully clarified. This study aimed to elucidate whether uterine exposure to LPS downregulates hypothalamic kisspeptin gene (Kiss1) expression, gonadotropin release, and ovarian function. Uterine inflammation was induced by intrauterine LPS administration to ovary-intact and ovariectomized female rats. As a result, plasma LPS concentrations were substantially higher in control rats until 48 h post injection, and the estrous cyclicity was disrupted with a prolonged diestrous phase. Three days post injection, the number of Graafian follicles and plasma estradiol concentration were reduced in LPS-treated rats, while numbers of Kiss1-expressing cells in the anteroventral periventricular nucleus and arcuate nucleus (ARC) were comparable in ovary-intact rats. Four days post injection, ovulation rate and plasma progesterone levels reduced significantly while gene expression of interleukin1β and tumor necrosis factor α was upregulated in the ovaries of LPS-treated rats that failed to ovulate. Furthermore, the number of Kiss1-expressing cells in the ARC and pulsatile luteinizing hormone (LH) release were significantly reduced in ovariectomized rats 24 h post injection. In conclusion, these results indicate that intrauterine LPS is absorbed in systemic circulation and attenuates ovarian function. This detrimental effect might be caused, at least partly, by the inhibition of ARC Kiss1 expression and LH pulses along with an induction of ovarian inflammatory response.
Anomalous Double Blood Supply to the Anterior Descending (LAD, RAD) Artery in an Infective Endocarditis Patient: A Case Report
Authors: Lv Xin , Liu Chuanzhen , Zhang Yang , Li Ruijian , Cao Guangqing
Published: September 2022

Background: Double blood supply to the anterior descending artery is a rare finding of coronary angiography. However, infective endocarditis (IE) combined with anomalous double blood supply to the anterior descending artery has not been reported.
Case presentation: A 58-year-old male previously diagnosed with IE came to the emergency department with complaints of chest tightness and dyspnea. Further examination confirmed severe aortic valve regurgitation combined with IE and anomalous double blood supply to the anterior descending artery. The cardiopulmonary bypass surgery was performed by direct perfusion through the normal left and right coronary openings. After surgery, the heart started beating again normally without any cardiogenic ischemic events.
Conclusion: Cardiopulmonary bypass by direct perfusion was safe in the patient with anomalous double blood supply to the anterior descending artery.
Žiniasklaidos naratyvo tyrimo prieigos konstravimas: Lietuvos periodinės spaudos leidinių „Respublika“ ir „Lietuvos rytas“ publikacijų emigracijos tema analizė (1991–2017 m.)
Authors:   , Nabažaitė Erika
Published: September 2022

Construction of media narrative research approach: analysis of emigration publications of Lithuanian periodicals “Respublika” and “Lietuvos rytas” (1991–2017)
Simultaneous determination of multiple components in Fuke Yangrong pill by HPLC
Authors: Wang Hua , Zhan Changjuan , Wang Yi
Published: September 2022

Fuke Yangrong pill, a traditional Chinese patent medicine, with the functions of nourishing qi and blood, soothing liver and relieving depression, regulating menstruation and removing blood stasis, is composed of 16 Chinese medicinal herbs. For quality control purpose, an HPLC method was established for simultaneous quantification of paeoniflorin, hesperidin and ligustilide in Fuke Yangrong pill. With acetonitrile-0.1% formic acid as mobile phase, gradient elution was carried out using Agilent ZORBAX Eclipse Plus C18 column (250 mm × 4.6 mm, 5.0 μm) at 1.0 mL min−1. Detection wavelength was set at 230 nm for paeoniflorin, 280 nm for hesperidin and ligustilide. The temperature was 30 °C. There was a good linearity between the peak area and the concentration of each component to be measured within their linear range (r ≥ 0.9994). The average recoveries were between 98.6% and 102.6% with RSDs no more than 2.93%. This method was validated to be accurate and convenient, which is suitable for the quality control of Fuke Yangrong pill.
Legal aspects of the prohibition of wild animal circus training: Evidence from the Czech Republic
Authors: Novotný Lukáš
Published: September 2022

The study examines the legislative issues associated with providing a legal solution to the problem of the circus training of wild animals in the post-communist context. These issues are demonstrated using the example of the Czech Republic. In 2020, the country passed a comprehensive amendment to Act No. 246/1992 Coll. on the Protection of Animals Against Cruelty, which prohibits, among other things, the training of wild animals in circuses with effect from January 2022. The study focuses on the following research questions: What are the main determinants of the prohibition of wild animal training? and, What were the main arguments with respect to the wild animal training prohibition mentioned by politicians during the parliamentary debate? The data analysed here consist of parliamentary debates and texts presented by institutions advocating for or against the ban.
First records of the Tokay Gecko, Gekko gecko (Linnaeus, 1758) (Squamata, Gekkonidae), in Mexico
Authors: Villalobos-Juárez Ivan , García-Padilla Elí , Sigala-Rodríguez José Jesús , Villalobos-Jiménez Giovanna
Published: September 2022

We report the first records of the invasive Tokay Gecko, Gekko gecko (Linnaeus, 1758), in Mexico, based on the discovery of five specimens from Reynosa, Tamaulipas.
A General Framework for Representing and Reasoning with Annotated Semantic Web Data
Authors: Straccia Umberto , Lopes Nuno , Lukacsy Gergely , Polleres Axel
Published: September 2022

We describe a generic framework for representing and reasoning with annotated Semantic Web data, formalise the annotated language, the corresponding deductive system, and address the query answering problem. We extend previous contributions on RDF annotations by providing a unified reasoning formalism and allowing the seamless combination of different annotation domains. We demonstrate the feasibility of our method by instantiating it on (i) temporal RDF; (ii) fuzzy RDF; (iii) and their combination. A prototype shows that implementing and combining new domains is easy and that RDF stores can easily be extended to our framework.
Subjective Trust Inference in Composite Services
Authors: Li Lei , Wang Yan
Published: September 2022

In Service-Oriented Computing (SOC) environments, the trustworthiness of each service is critical for a service client when selecting one from a large pool of services. The trust value of a service is usually in the range of [0,1] and is evaluated from the ratings given by service clients, which represent the subjective belief of these service clients on the satisfaction of delivered services. So a trust value can be taken as the subjective probability, with which one party believes that another party can perform an action in a certain situation. Hence, subjective probability theory should be adopted in trust evaluation. In addition, in SOC environments, a service usually invokes other services offered by different service providers forming a composite service. Thus, the global trust of a composite service should be evaluated based on complex invocation structures. In this paper, firstly, based on Bayesian inference, we propose a novel method to evaluate the subjective trustworthiness of a service component from a series of ratings given by service clients. Secondly, we interpret the trust dependency caused by service invocations as conditional probability, which is evaluated based on the subjective trust values of service components. Furthermore, we propose a joint subjective probability method to evaluate the subjective global trust of a composite service on the basis of trust dependency. Finally, we introduce the results of our conducted experiments to illustrate the properties of our proposed subjective global trust inference method.
GTPA: A Generative Model For Online Mentor-Apprentice Networks
Authors: Ahmad Muhammad , Huffakar David , Wang Jing , Treem Jeff , Poole Marshall , Srivastava Jaideep
Published: September 2022

There is a large body of work on the evolution of graphs in various domains, which shows that many real graphs evolve in a similar manner. In this paper we study a novel type of network formed by mentor-apprentice relationships in a massively multiplayer online role playing game. We observe that some of the static and dynamic laws which have been observed in many other real world networks are not observed in this network. Consequently well known graph generators like Preferential Attachment, Forest Fire, Butterfly, RTM, etc., cannot be applied to such mentoring networks. We propose a novel generative model to generate networks with the characteristics of mentoring networks.
A Probabilistic-Logical Framework for Ontology Matching
Authors: Niepert Mathias , Meilicke Christian , Stuckenschmidt Heiner
Published: September 2022

Ontology matching is the problem of determining correspondences between concepts, properties, and individuals of different heterogeneous ontologies. With this paper we present a novel probabilistic-logical framework for ontology matching based on Markov logic. We define the syntax and semantics and provide a formalization of the ontology matching problem within the framework. The approach has several advantages over existing methods such as ease of experimentation, incoherence mitigation during the alignment process, and the incorporation of a-priori confidence values. We show empirically that the approach is efficient and more accurate than existing matchers on an established ontology alignment benchmark dataset.
Visual Contextual Advertising: Bringing Textual Advertisements to Images
Authors: Chen Yuqiang , Jin Ou , Xue Gui-Rong , Chen Jia , Yang Qiang
Published: September 2022

Advertising in the case of textual Web pages has been studied extensively by many researchers. However, with the increasing amount of multimedia data such as image, audio and video on the Web, the need for recommending advertisement for the multimedia data is becoming a reality. In this paper, we address the novel problem of visual contextual advertising, which is to directly advertise when users are viewing images which do not have any surrounding text. A key challenging issue of visual contextual advertising is that images and advertisements are usually represented in image space and word space respectively, which are quite different with each other inherently. As a result, existing methods for Web page advertising are inapplicable since they represent both Web pages and advertisement in the same word space. In order to solve the problem, we propose to exploit the social Web to link these two feature spaces together. In particular, we present a unified generative model to integrate advertisements, words and images. Specifically, our solution combines two parts in a principled approach: First, we transform images from a image feature space to a word space utilizing the knowledge from images with annotations from social Web. Then, a language model based approach is applied to estimate the relevance between transformed images and advertisements. Moreover, in this model, the probability of recommending an advertisement can be inferred efficiently given an image, which enables potential applications to online advertising.
On the Reputation of Agent-Based Web Services
Authors: Khosravifar Babak , Bentahar Jamal , Moazin Ahmad , Thiran Philippe
Published: September 2022

Maintaining a sound reputation mechanism requires a robust control and investigation. In this paper, we propose a game-theoretic analysis of a reputation mechanism that objectively maintains accurate reputation evaluation of selfish agent-based web services. In this framework, web services are ranked using their reputation as a result of provided feedback reflecting consumers' satisfaction about the offered services. However, selfish web services may alter their public reputation level by managing to get fake feedback. In this paper, game-theoretic analysis investigates the payoffs of different situations and elaborates on the facts that discourage web services to act maliciously.
Toward an Architecture for Never-Ending Language Learning
Authors: Carlson Andrew , Betteridge Justin , Kisiel Bryan , Settles Burr , Hruschka Estevam , Mitchell Tom
Published: September 2022

We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, information from the web to populate a growing structured knowledge base, and (2) learn to perform this task better than on the previous day. In particular, we propose an approach and a set of design principles for such an agent, describe a partial implementation of such a system that has already learned to extract a knowledge base containing over 242,000 beliefs with an estimated precision of 74% after running for 67 days, and discuss lessons learned from this preliminary attempt to build a never-ending learning agent.
Utilizing Context in Generative Bayesian Models for Linked Corpus
Authors: Kataria Saurabh , Mitra Prasenjit , Bhatia Sumit
Published: September 2022

In an interlinked corpus of documents, the context in which a citation appears provides extra information about the cited document. However, associating terms in the context to the cited document remains an open problem. We propose a novel document generation approach that statistically incorporates the context in which a document links to another document. We quantitatively show that the proposed generation scheme explains the linking phenomenon better than previous approaches. The context information along with the actual content of the document provides signiﬁcant improvements over the previous approaches for various real world evaluation tasks such as link prediction and log-likelihood estimation on unseen content. The proposed method is more scalable to large collection of documents compared to the previous approaches.
Collusion Detection in Online Bridge
Authors: Yan Jeff
Published: September 2022

Collusion is a major unsolved security problem in online bridge: by illicitly exchanging card information over the telephone, instant messenger or the like, cheaters can gain huge advantages over honest players. It is very hard if not impossible to prevent collusion from happening. Instead, we motivate an AI-based detection approach and discuss its challenges. We challenge the AI community to create automated methods for detecting collusive traces left in game records with an accuracy that can be achieved by human masters.
Dealing with Infinite Loops, Underestimation, and Overestimation of Depth-First Proof-Number Search
Authors: Kishimoto Akihiro
Published: September 2022

Depth-first proof-number search (df-pn) is powerful AND/OR tree search to solve positions in games. However, df-pn has a notorious problem of infinite loops when applied to domains with repetitions. Df-pn(r) cures it by ignoring proof and disproof numbers that may lead to infinite loops. This paper points out that df-pn(r) has a serious issue of underestimating proof and disproof numbers, while it also suffers from the overestimation problem occurring in directed acyclic graph. It then presents two practical solutions to these problems. While bypassing infinite loops, the threshold controlling algorithm (TCA) solves the underestimation problem by increasing the thresholds of df-pn. The source node detection algorithm (SNDA) detects the cause of overestimation and modifies the computation of proof and disproof numbers. Both TCA and SNDA are implemented on top of df-pn to solve tsume-shogi (checkmating problem in Japanese chess). Results show that df-pn with TCA and SNDA is far superior to df-pn(r). Our tsume-shogi solver is able to solve several difficult positions previously unsolved by any other solvers.
New Worst-Case Upper Bound for #2-SAT and #3-SAT with the Number of Clauses as the Parameter
Authors: Zhou Junping , Yin Minghao , Zhou Chunguang
Published: September 2022

The rigorous theoretical analyses of algorithms for #SAT have been proposed in the literature. As we know, previous algorithms for solving #SAT have been analyzed only regarding the number of variables as the parameter. However, the time complexity for solving #SAT instances depends not only on the number of variables, but also on the number of clauses. Therefore, it is significant to exploit the time complexity from the other point of view, i.e. the number of clauses. In this paper, we present algorithms for solving #2-SAT and #3-SAT with rigorous complexity analyses using the number of clauses as the parameter. By analyzing the algorithms, we obtain the new worst-case upper bounds O(1.1892m) for #2-SAT and O(1.4142m) for #3-SAT, where m is the number of clauses.
Symmetry in Solutions
Authors: Heule Marijn , Walsh Toby
Published: September 2022

We define the concept of an internal symmetry. This is a symmety within a solution of a constraint satisfaction problem. We compare this to solution symmetry, which is a mapping between different solutions of the same problem. We argue that we may be able to exploit both types of symmetry when finding solutions. We illustrate the potential of exploiting internal symmetries on two benchmark domains: Van der Waerden numbers and graceful graphs. By identifying internal symmetries we are able to extend the state of the art in both cases.
A Restriction of Extended Resolution for Clause Learning SAT Solvers
Authors: Audemard Gilles , Katsirelos George , Simon Laurent
Published: September 2022

Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretically explained by showing that the clause learning framework is an implementation of a proof system which is as poweful as resolution. However, exponential lower bounds are known for resolution, which suggests that significant advances in SAT solving must come from implementations of more powerful proof systems. We present a clause learning SAT solver that uses extended resolution. It is based on a restriction of the application of the extension rule. This solver outperforms existing solvers on application instances from recent SAT competitions as well as on instances that are provably hard for resolution.
Collaborative Expert Portfolio Management
Authors: Stern David , Samulowitz Horst , Herbrich Ralf , Graepel Thore , Pulina Luca , Tacchella Armando
Published: September 2022

We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a feature-based description of tasks and experts to yield a general framework for managing a portfolio of experts. The model learns an embedding of tasks and problems into a latent space in which affinity is measured by the inner product. The model can be trained incrementally and can track non-stationary data, tracking potentially changing expert and task characteristics. The approach allows us to use a principled decision theoretic framework for expert selection, allowing the user to choose a utility function that best suits their objectives. The model component for taking into account the performance feedback data is pluggable, allowing flexibility. We apply the model to manage a portfolio of algorithms to solve hard combinatorial problems. This is a well studied area and we demonstrate a large improvement on the state of the art in one domain (constraint solving) and in a second domain (combinatorial auctions) created a portfolio that performed significantly better than any single algorithm.
Creating Dynamic Story Plots with Continual Multiagent Planning
Authors: Brenner Michael
Published: September 2022

An AI system that is to create a story (autonomously or in interaction with human users) requires capabilities from many subfields of AI in order to create characters that themselves appear to act intelligently and believably in a coherent story world. Specifically, the system must be able to reason about the physical actions and verbal interactions of the characters as well as their perceptions of the world. Furthermore it must make the characters act believably--i.e. in a goal-directed yet emotionally plausible fashion. Finally, it must cope with (and embrace!) the dynamics of a multiagent environment where beliefs, sentiments, and goals may change during the course of a story and where plans are thwarted, adapted and dropped all the time.  In this paper, we describe a representational and algorithmic framework for modelling such dynamic story worlds, Continual Multiagent Planning. It combines continual planning (i.e. an integrated approach to planning and execution) with a rich description language for modelling epistemic and affective states, desires and intentions, sensing and communication. Analysing story examples generated by our implemented system we show the benefits of such an integrated approach for dynamic plot generation.
Integrated Systems for Inducing Spatio-Temporal Process Models
Authors: Park Chunki , Bridewell Will , Langley Pat
Published: September 2022

Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In the past, such systems have been limited to data sets that recorded change over time, but many interesting problems involve both spatial and temporal dynamics. To meet this challenge, we introduce SCISM, an integrated intelligent system which solves the task of inducing process models that account for spatial and temporal variation. We also integrate SCISM with a constraint learning method to reduce computation during induction. Applications to ecological modeling demonstrate that each system fares well on the task, but that the enhanced system does so much faster than the baseline version.
Instance-Based Online Learning of Deterministic Relational Action Models
Authors: Xu Joseph , Laird John
Published: September 2022

We present an instance-based, online method for learning action models in unanticipated, relational domains. Our algorithm memorizes pre- and post-states of transitions an agent encounters while experiencing the environment, and makes predictions by using analogy to map the recorded transitions to novel situations. Our algorithm is implemented in the Soar cognitive architecture, integrating its task-independent episodic memory module and analogical reasoning implemented in procedural memory. We evaluate this algorithm’s prediction performance in a modified version of the blocks world domain and the taxi domain. We also present a reinforcement learning agent that uses our model learning algorithm to significantly speed up its convergence to an optimal policy in the modified blocks world domain.
Knowledge Compilation in the Modal Logic S5
Authors: Bienvenu Meghyn , Fargier Hélène , Marquis Pierre
Published: September 2022

In this paper, we study the knowledge compilation task for propositional epistemic logic S5. We first extend many of the queries and transformations considered in the classical knowledge compilation map to S5. We then show that the notion of disjunctive normal form (DNF) can be profitably extended to the epistemic case; we prove that the DNF fragment of S5, when appropriately defined, satisfies essentially the same queries and transformations as its classical counterpart.