bluuebunny/crossref_metadata_2025 huggingface dataset:
Genomic recovery lags behind demographic recovery in bottlenecked populations of the Channel Island fox, Urocyon littoralis
Authors: Adams Nicole , Edmands Suzanne
Published: July 2022

With continued global change, recovery of species listed under the
Endangered Species Act is increasingly challenging. One rare success was
the recovery and delisting of the Channel Island fox (Urocyon
littoralis) after 90-99% population declines in the 1990s. While their
demographic recovery was dramatic, less is known about their genetic
recovery. To address genetic changes we conducted the first
multi-individual and population-level direct genetic comparison of
samples collected before and after the recent bottlenecks. Using whole
exome sequencing, we found that already genetically depauperate
populations were further degraded by the 1990s declines and remain low,
particularly on San Miguel Island which underwent one of the most severe
bottlenecks. The three other islands that experienced recent bottlenecks
(Santa Rosa, Santa Cruz, and Santa Catalina islands) showed mixed
results based on multiple metrics of genetic diversity. Previous island
fox genomics studies showed low genetic diversity before the declines
and no change after the demographic recovery, thus this is the first
study to show a decrease in genetic diversity over time in U.
littoralis. Additionally, we found that divergence between populations
consistently increased over time, complicating prospects for using
inter-island translocation as a conservation tool. The Santa Catalina
subspecies is now federally listed as threatened, yet other de-listed
subspecies are still recovering genetic variation which may limit their
ability to adapt to changing environmental conditions. This study
further demonstrates that species conservation is more complex than
population size and that some island fox populations are not yet “out
of the woods”.
Atypical Guillain--Barre syndrome with T6 sensory level
Authors: AL-Ameen Osamah , faisal mohanad , mustafa salma , alhatou Mohammed
Published: July 2022

Guillain-Barré syndrome is an acute immune-mediated demyelinating
disease. Typical features include progressive ascending lower extremity
weakness and areflexia. Several variants have been described which can
make the diagnosis challenging . Here, we report a case of GBS
presenting with progressive lower limb weakness and T6 sensory level.
Pediatric secondary CML in a patient with HLH carrying UNC13D , LYST and ITK variant
Authors: huang chengshuang , Huang Pei , Luo Xi , He Zhixu , CHEN YAN
Published: July 2022

Hemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening
disease. This case report describes a secondary chronic myelogenous
leukemia (CML) in a nine-year-old male after treatment with a
combination of etoposide (VP16), steroids and cyclosporin for HLH. VP16
can potentially induce leukemia, and single nucleotide polymorphisms may
be involved in the pathogenesis of CML. We speculate that genetic
backgrounds combined with chemotherapeutic drugs lead to secondary CML.
This case report alerts physicians to the importance of genetic
screening and the rare side effects of VP16 in children with HLH.
Possible association between COVID-19 caused stress and periodontal health - a pilot study
Authors: Vujovic Sanja , Marjanovic Dragan , Stevanovic Momir , Bijelic Borivoj , Djordjevic Vladan , Staletovic Danijela , Joksimovic Ena , Desnica Jana
Published: July 2022

Introduction/Objective. Stress is proposed as one of the risk factors linked to periodontal disease. The COVID-19 pandemic has a significant negative impact in population on mental and somatic health. This study aimed to examine the possible association between COVID-19 resultant stress and periodontal health. Methods. An observational pilot study was conducted from March 2020 to October 2021 and included 202 participants. Participants graded their stress level using the Perceived Stress Scale (PSS). Periodontal Disease Index and Clinical Attachment Level were determined. Participants were categorized into following groups: Ia (low stress), IIa (moderate stress), IIIa (high stress) and Ib (healthy parodontium), IIb (mild periodontal disease), IIIb (severe periodontal disease). The cause/effect relationship between stress and health was measured. Results. The results indicated a statistically significant difference between the groups classified according to the stress level concerning values of all the measured parameters. The Poisson regression analysis showed that in both models, crude and adjusted, periodontal health-related covariables were higher in subjects perceiving greater stress (Periodontal Disease Index ? Pradjusted = 1.042, 95% CI [1.030?1.055] and Clinical Attachment Level ? PRadjusted = 1.108, 95% CI [1.094?1.122]). Conslusion. During COVID-19 pandemic increased stress has a negative impact on mental health and may result in the deterioration of the entire oral cavity?s health, including the periodontium.
Variational principles for two kinds of non-linear geophysical KdV equation with fractal derivatives
Authors: Cao Xiao-Qun , Liu Bai-Nian , Liu Meng-Zhu , Peng Ke-Cheng , Tian Wen-Long
Published: July 2022

It is an important and difficult inverse problem to construct variational
principles from complex models directly, because their variational
formulations are theoretical bases for many methods to solve or analyze the
non-linear problems. At first, this paper extends two kinds of non-linear
geophysical KdV equations in continuum mechanics to their fractional
partners in fractal porous media or with irregular boundaries. Then, by
designing skillfully, the trial-Lagrange functional, variational principles
are successfully established for the non-linear geophysical KdV equation
with Coriolis term, and the high-order extended KdV equation with fractal
derivatives, respectively. Furthermore, the obtained variational principles
are proved to be correct by minimizing the functionals with the calculus of
variations.
Model and performance analysis of coupled heat and moisture transfer of the roadbed slope
Authors: Ouyang Mingzhe , Wang Wei , Liu Enhai , Zhang Wenyun
Published: July 2022

The soil samples of the roadbed slope of the Datong-Xi'an high-speed railway
section are taken as the research object. The frost-heave property of the
fiber soil of the roadbed slope under a single freeze-thaw cycle is studied,
where the fiber's content is taken into account. The distributions of
temperature and humidity fields inside the slope are numerically studied,
and the coupling transfer of heat and moisture is revealed. The results are
helpful for the optimal design of the roadbed slope
Fractional residual method coupled with Adomian decomposition method for solving local fractional differential equations
Authors: Yang Yong-Ju , Wang Shun-Qin
Published: July 2022

In order to solve the local fractional differential equations, we couple the
fractional residual method with the Adomian decomposition method via the
local fractional calculus operator. Several examples are given to
illustrate the solution process and the reliability of the method.
The arm of St. John the Baptist in Rhodes and the diplomacy of relics among the knights hospitaller
Authors: Katsioti Angeliki
Published: July 2022

From 1309 to 1523, Rhodes was ruled by the Order of the Knights of St. John.
The relics of John the Baptist, their patron saint, held a prominent place
in the Hospitallers? devotion. Among the relics, his arm became a
significant focus of attention and pilgrimage for the Christian world. After
a brief review of the earliest references to the arm, its travels about the
eastern Mediterranean, as well as some of the testimonies related to it, the
representations of the saint?s arm in medieval painting are briefly
examined. After 1204, the Knights appear to have had a direct or indirect
connection with the proliferation and dispersal of the relics of the saint,
aiming at political and economic benefits. The ?miraculous replication? of
the arm opened new perspectives for power and influence.
Sonda do problematiky ústavnej starostlivosti o deti v Slovenskom štáte na príklade okresných detských domovov
Authors: Rigová Viktória
Published: July 2022

The history of District children´s homes in Slovakia dates back to the period of interwar Czechoslovakia. They were founded and managed by the District youth cares, overseen by the Slovak Youth Care Centre in Bratislava. During the existence of the Slovak State, these institutions represented the most important organizers and implementers of social care for children and youth. The District children´s homes formed a network of private institutional care for worthy children, they served as centres of organized family care in the district. In 1942 there were 25 of these orphanages. They accepted only healthy children, called “normal” during the period that is the subject of this paper. In the case of District children´s homes, as a principle, children were placed in them only for provisional, temporary period. Children who were explicitly abandoned belonged to the state institutional care, followed by care in foster families. Children were admitted at the request of relatives, the home village, the district court or fiduciaries based in District youth cares. Qualified educators were in charge of education in the District children´s homes.
The impact of ICT on the development of children's religious and moral values
Authors: Hardiyana Andri , Dwiyanti Intan , Zakiyah Ishmatun , Munafiah Nida'ul
Published: July 2022

Human civilization today cannot be separated from the development of information and communication technology. The purpose of this study was to describe and analyze the impact of the use of information and communication technology on the development of early childhood religious and moral values. The results of this study indicate that the use of ICT has a positive and negative impact, especially the psychological impact on children's development. In addition, the use of ICT, if it can be used wisely, can lead to a) the right to education through the use of ICT under parental supervision, b) the role of parents in education, supervision, and control of children in the use of ICT, c) facilitate parents and children in learning and communication, d) can grow aspects of child development comprehensively, e) as a media for children to learn characters in a game/video, f) helping children listen to murotal or g) as a reminder (alarm) when worshiping/doing essential activities. The findings of the adverse effects of this study caused: a) children sometimes spoke harshly, b) children became quiet and lacked socialization with the surrounding environment, and c) lost track of time.
The correlation between school principal’s leadership and teacher’s productivity during covid-19 pandemic
Authors: Putri Febycia Mellania , Aisiyah Laily Nur , Dienda Saputri Senny Weyara , Rahman Muhammad Habibu
Published: July 2022

Teachers' productivity can't be separated from how the school principal's leadership acts in leading institutions. The lack of communication between the principal and the teachers in implementing emergency learning during the pandemic becomes the background of the study. This article aims to determine the correlation between the school principal's leadership and teachers' productivity during the COVID-19 pandemic. Ten teachers became the respondents of the study. The type of research is correlational research using rank-order formula. The method used in this study was quantitative data analysis. The result showed a good relationship between the school principal's leadership and teachers' productivity. The manual calculation showed that rcount was 0.745, higher than rtable (0.576). In percentage, the value obtained was 55.5%, and 44.5% of the value was affected by other factors. The criterion used was n=10 with rtable = 0.576 at a 95% significant level. The study found that the principal's control was very influential in maintaining the quality of education during a pandemic.
Constructive games increase children's creativity
Authors: Maharani Laila , Nopriansyah Untung , Rahmawati Widia , Harjani Haryanti Jaya , Nufus Ajijah Sadiah
Published: July 2022

Creativity has a negative impact if children's basic abilities are not developed early. Children's activities that still tend to be monotonous cause children to get bored easily. This study aimed to determine the level of creativity in early childhood through constructive games at Mutiara Hati Kindergarten, Bandar Lampung. The activities can positively influence children's creativity, so the happier children are in play, the better their creativity will be. This research is a case study research involving three teachers and 15 students. The data were collected through observation, interviews, and document analysis to be analyzed qualitatively using data reduction, display, and concluding. The results showed that children's creativity could be increased through constructive games where they can imagine carrying out these activities so that their creativity develops according to their age. Furthermore, constructive games give children the freedom to explore their potential. Children's creativity is marked by increasing their understanding of the process of constructive play by playing with blocks and plasticine.
THE PERIODONTAL TISSUE STATE IN CHILDREN OF THE JUVENILE AGE TAKING INTO CONSIDERATION THE GENERAL SOMATIC FACTOR
Authors: Godovanets O.I. , Kitsak T.S.
Published: July 2022

Dental morbidity in children, despite numerous preventive measures, remains very hightoday. The prevalence and severity of the clinical course of periodontal tissue diseasevary widely in Ukraine and other countries, and depends on age.Today, inflammatory diseases of periodontal tissues are considered as a reaction of theorganism to the imbalance between the microbial agent and the protective systems of theoral cavity under the influence of various exo- and endogenous factors. Microflora oftartar, plaque, dental calculus can actively interact with the tissue elements located underthe sulcus epithelium, thus triggering typical pathological processes.Objective – to determine the prevalence and intensity of periodontal tissue damages inchildren with comorbid diffuse non-toxic goitre (DNG).Materials and Methods. To determine the dynamics of changes in clinical parameterswith age, two age groups – 12 and 15 years, among them there were 180 children withDNG, and 80 somatically healthy children have been examined.Results. Examination of somatically healthy children showed the presence of periodontaltissue pathology in 62,00 % of children under examination at the age of 12 years andin 80,00 % of those at the age of 15 years (Fig.1). CCG dominated in the structure ofperiodontal diseases with detection rates ranging from 83,33 to 95,83 %.Conclusions. Regarding periodontal tissue damages by tartar as one of the leading factorsof inflammatory processes in gums and alveolar bone, the following should be noted:there is a low level of periodontal tissue damage in younger children and in somaticallyhealthy children of both ages. The incidence of hard dental deposits in adolescents withDNG is moderate, and high in case of DNG, grade II.
Virânȋ Abdal´ın “Elif U Mim´Den Aldık Sırr-I Kuranı” Matlaı ile Başlayan Deyişi İçin Bir Tevcih (Yorum)
Authors: Albayrak Hüseyin
Published: July 2022

Alevi Bektaşi edebiyatı içerisinde âşıklar, tecrübe etmiş oldukları manevi seyahatler esnasında yüklendikleri hâlleri sembolik olarak arifane bir tarzda, şiir şeklinde ifade etmişlerdir. Çünkü bâtında yaşanan bu hâllerin zahire, maddi dünyaya taşması ve de taşınması ancak şiir türünün imkân verdiği semboller ve lugaz, teşbih, tevriye gibi edebî sanatlar çerçevesinde mümkün olabilmektedir. Bu edebiyat geleneği içerisinde yazılmış nefes, deyiş, nutuk vb. türlerin sembolik dillerinin altında yatan asıl anlamlarını beyan etmek amacıyla Tevil, Şerh ve Tevcih gibi eserler kaleme alınmıştır. Genelde herhangi edebî bir eserin açıklanmasına yönelik olarak yazılmış olan bir metin ister Tevil ister Şerh isterse de Tevcih (Yorum) olsun, okunduğunda “Acaba şair/âşık gerçekten de bu söylenenleri kastetmiş midir?” sorusu kaçınılmaz olacaktır. Ancak her edebî metin, kaynağından çıktığı andan itibaren muhatabının/okuyucunun idrak mertebesine göre şekillenir. Kaynağı Tanrısal feyz olan tüm bu şiirlerin şerhleri ve yorumları, söz konusu şiirlerin hakikatini bütünüyle kapsayıcı olmasa da derininde yatan anlam katmanlarının çözümlenmesi açısından kıymetlidir. Bu makalede, Alevi Bektaşi inancının adeta manifestosu niteliğinde olan deyiş evreninde yedi ulu ozan ya da gelenekteki ifadesiyle yedi bâtın aşığı olarak adlandırılan kanon içerisinde yer alan Virânî Abdal´a ait bir şiir, inancın irfânî müktesebatından ilhamla mana yönünden yorumlanmaya çalışılmıştır.
Fichte ve Yunus Emre'de Arı Ben’in İfadesi
Authors: Acar Ayşe , Acar Sadık
Published: July 2022

Bu çalışma Fichte ve Yunus Emre’de Arı Ben’in ele alınış ve ifade ediliş tarzlarındaki ortak temalara yer vermektedir. Bu amaçla çalışma, Batı zihin dünyasında Descartes’le başlayan modern öznenin Alman İdealizmine kadar varılan süreçte giderek saltık özneye dönüşmesine ve Fichte’de her şeyin temeline konan Arı Ben’in ifadesine yoğunlaşmaktadır. Özne nesne dualitesi birliğe kavuşturmak, varoluşu Ben’in etkinlik alanı ve ürünü olarak tek bir ilkeye dayalı olarak açıklamak Fichte’nin önüne koyduğu temel amaç olacaktır. Benzer şekilde varlığın Arı Ben tarafından kurulması, Fichte’de olduğu üzere Yunus Emre için de ortak bir söylem olarak ele alınıp işlenecektir. Her iki düşünürde de Ben’in ben olmayanla kendini dolayımlaması ve insanın etik bir varlığa dönüşmesi, Ben’in kendisini bilmesinin bu dolayımla mümkün olacağının vurgulanması üzerinde durulacaktır. İnsan’ın bir/başka insanla insanlaşabileceği, iradi öznenin kendini bilmesinin ise kendi yapıp etmeleri üzerinden gerçekleşeceği düşüncesi makalenin üzerinde düşündüğü temel tema olacaktır. Fichte ve Yunus Emre, ancak ortak insanlık ideali altında etik bir öznenin ve ideal toplumsal yaşantının mümkün olabileceğine dönük bir söylemde bulunmuş ve Arın/ilahi Ben’in sonlu ve sınırlı benler aracılığıyla kendini açığa vurduğunu belirtmişlerdir. Her iki bakış açısından da insanı ve insanlığı göz önüne almayan bir yaklaşımın Tanrısal bir yaşantıyı kavrayamayacağı ve kendinde bir ahlak olarak deneyimleyemeyeceği vurgulanır. Fichte ve Yunus’un düşüncesinde tüm varoluş Ben’in kendisini koyması olması bakımından her varoluşun sorumluluğunun üstlenilmesi de insan olmanın zorunlu gereğidir. İnsanı ciddiye almayan, her Ben’i kedinden ve kendi kadar kıymetli görmeyen, pratik aklın alanında kendini bir eylem varlığı olarak bir başka insan için ortaya koymayan bir iradenin inancının ve ahlakının şüpheli olacağı düşünülür. Her iki düşünürde de insan özgür ve biricik bir varlık olarak düşünülmüş ve insanın kendi asli içeriğini dışarda da inşa etmesi isteminde bulunulmuştur.
Bulgaristan’da Alevi-Bektaşi Topluluğunda Hızır-İlyas Kültünün Yansımaları ve Hıdırellez Geleneği
Authors: Gramatikova Nevana
Published: July 2022

Hıdırellez, asırlar boyunca tüm Türk dünyasında çok popüler olan ve canlı şekilde kutlanan bir geleneksel bayramdır. Efsaneye göre bugün Hızır ve İlyas peygamberlerin, buluştuğu gündür ve şölenin adı da onların isimlerinin birleşmesinden gelmektedir. Ruz-i Hızır olarak da adlandırılan bu bayram, doğanın yeniden canlanmasını ve yeşillenmesini, onun yeni yaşamının ve evrenin sürekli ölümden hayata geçmesinin simgesidir. Bu nedenle Hıdırellez yeşil alanlarda, ağaçlar ve su bulunan yerlerde ve çoğu zaman bir türbenin ya da saygın bir azizle ilişkili yerlerde kutlanmaktadır. İnanca göre Hızır, o günden önceki gecede nereye ayak bastıysa oraya refah ve bereket getirmektedir. Hıdırellez geleneği Bulgaristan’da yaşayan Alevi-Bektaşi topluluğunun canlı bir şekilde kutladığı en saygın ve ünlü geleneksel bayramlarındandır. O hem Hızır kültünün bir tezahürüdür hem de eski Türk bayram takviminin, geleneksel ritüellerin uygulamalarının bir ifadesidir. Çalışmamız, bu topluluğun Bulgaristan’daki temsilcileri arasında Hızır kültünün bazı belli boyutlarına tarihsel bağlamda odaklanmaktadır. Aynı zamanda Hıdırellez’de Razgrad bölgesinde Alevi-Bektaşilerin yaşadığı köylerde -Bisertsi (Kasçılar), Mıdrevo (Mesimmahlesi) ve Sevar (Ceferler)- icra edilen bazı geleneklerden ve ritüellerden bahsedilmektedir ve oyunların sembolik unsurlarına değinilmektedir: Alaylar, Beşikli, Bezirgan, Nişan çıkarma gibi pratikler incelenmektedir. Bu pratiklerin Türkiye’de yaşayan Alevi-Bektaşilerin Hıdırellez gelenekleriyle paralellikler gösterdiğine de değinilecektir. Bu çalışmanın önemli bir noktası da Bulgaristan’da son 10-15 yıldan beri geleneksel Hıdırellez ritüel sisteminin yeniden canlanmasına ve coğrafi kapsamının genişletilmesine ve bunun yeni özellikleri de kazanmasına dikkat çekilmektedir. 1990 yılından beri ülkedeki demokratik değişimlerden sonraki dönemde Alevi-Bektaşi kimliğinin yeniden canlandırılmasında ve korunmasında Hıdırellez geleneğinin rolüne vurgu yapılmaktadır. Bulgaristan’da Hıdırellez ritüellerinde özellikle kadınlar yer almaktadır. Bu da Alevi-Bektaşi topluluğunda kadınların rolünü ve yerini göstermektedir ve simgelemektedir. Zamanın değişimlerine ve modernleşme baskısına rağmen kadınlar Hıdırellez geleneğini canlılıkla korumaktadır. Bununla beraber Hıdırellez ritüelleri Türklerin suya, doğaya, ağaçlara, bitkilere, ateşe, yere saygılarının ne kadar güçlü olduğunu göstermektedir. Bunu Bulgaristan örneğinde de görmekteyiz. Bu husus söz konusu bayramın evrensel boyutlarını açıklamaktadır.
Palatalización y contextos de palatalización de *k/*k’: una ruta de cambio fonológico en lenguas de la familia maya
Authors: Sobrino Gómez Martín
Published: July 2022

Sin duda, la palatalización sincrónica y diacrónica de oclusivas velares en lenguas de la familia lingü.stica maya es un fenómeno bastante conocido y estudiado. Si bien, diacrónicamente, el cambio *k(’) > tʃ(ʼ) en varias de estas lenguas parece ser uno recurrente, los autores que lo han descrito proponen que en cada lengua o grupo de lenguas se tienen condiciones especiales o contextos diferentes en los que ocurre, ya sea para argumentar que el cambio es una innovación independiente o producto de la difusión areal. Basándonos en el análisis de lenguas mayas que manifiestan palatalización de k(’) (sincrónica o diacrónica), así como en el examen de los patrones de difusión léxica de los dialectos del mam y de las lenguas orientales, esta investigación propone la existencia de dos reglas de palatalización para esta familia lingüística: una que responde a un proceso de asimilación (antes y después de vocales anteriores), y otra que responde a uno de disimilación (cuando la oclusiva velar precede a una consonante dorsal en la misma raíz). En cada lengua o subgrupo de lenguas, pueden estar activas ambas reglas, o bien, solamente una de ellas. Se propone, además, que el cambio incluye un estadio intermedio: *k(ʼ) > *kʲ(ʼ) > tʃ(ʼ). Si una lengua no palataliza las oclusivas velares en alguna palabra, no se debe solamente al poco alcance de la difusión de las reglas, pues veremos que el cambio, ya sea de manera independiente o por difusión, puede bloquearse debido a restricciones fonotácticas en las raíces de cada lengua. Al considerar estos y otros factores como el préstamo léxico en el estudio de la palatalización de oclusivas  velares en las lenguas mayas, será posible observar en detalle el estado de difusión léxica del ch’olano clásico, así como el grado de interacción que las lenguas q’anjob’alanas tuvieron con las lenguas de las tierras bajas.
IADA, opción metodológica para la formación del director coral
Authors: Triviño Valbuena Andrea , Pineda Bedoya Andrés
Published: July 2022

El presente documento expone la construcción de la opción metodológica denominada IADA, nombre resultante de la inicial de los cuatro momentos que la configuran como tal (Imitación, Análisis, Desarrollo y Aplicación). La propuesta aporta al proceso de enseñanza-aprendizaje de la dirección coral de una forma secuencial, progresiva y sistemática fundamentada en el aprendizaje significativo y el aprendizaje autónomo.
Para el logro de los objetivos de formación en dirección coral a través de IADA, se elaboraron cinco guías de aprendizaje autónomo, como la herramienta que emplea esta opción metodológica. Cada guía se organiza en tres secciones que contienen actividades secuenciales, diseño que responde al modelo de aprendizaje autónomo y promueve la práctica aplicada y teórica de la dirección coral.
La propuesta metodológica y su estrategia didáctica, son el resultado de la reflexión académica de los autores del presente artículo, en torno a las necesidades de formación de los estudiantes de profundización en dirección coral en la Licenciatura en Música de la Universidad Pedagógica Nacional, ubicada en Bogotá - Colombia.
EGUAA a 10 años de su creación
Authors: Carbajal Vaca Irma Susana , Hernández Delgado Julio César , Lara González Samuel Imanol , Martínez Díaz David Alejandro
Published: July 2022

La historia del Ensamble de Guitarras de la Universidad Autónoma de Aguascalientes (EGUAA) está configurada por una red de estados intencionales que han confluido en esta acción académica a través del tiempo: la creación de la Licenciatura en Música en el año 2009 y su rediseño en 2017, el modelo universitario en la formación de músicos, la creación de la Cátedra Alfonso Moreno en 2010 y los propósitos educativos en la Orquesta Filarmónica de la Universidad Autónoma de Aguascalientes, así como las intencionalidades pedagógicas que cada director activa cuando toma la batuta del ensamble. En este artículo se presentará la exploración que los estudiantes de guitarra –miembros del EGUAA– y su profesora de investigación, realizaron sobre la trayectoria del ensamble para verificar si existen indicios para reconocer una tradición guitarrística en esta comunidad universitaria.
Use of the continuous glucose monitoring system in the management of hypoglicemia in insulin autoimmune syndrome
Authors: Pop Andrada Raluca , Ruscanu Claudia Emanuela , Roman Gabriela , Pascanu Ionela Maria
Published: July 2022

Background: Insulin autoimune syndrome (IAS), also known as Hirata’s disease, is a rare cause of spontaneous hyperinsulinemic hypoglicemia characterised by the presence of autoantibodies directed against human insulin (IAA).

Case Report: A 48-year-old Caucasian female patient with IAS was studied in two different periods, for 7 days each, using a continuous monitoring system (CGM) under various treatment regimens, i.e diet modification and corticosteroids therapy.

Discutions: The use of CGM in autoimmune hypoglycemia is encouraged and must be taken into consideration in order to prevent episodes of hypoglicemia. Including of IAS and quantification of IAA in differential diagnosis in patients with hypoglicemia episodes and negative imaging results can prevent patients from going through unnecessary procedures.
Dynamics of Pertinent Project Delay Variables in the Thai Construction Sector: Mathematical Analysis
Authors: Ajayi Babatunde Oluwaseun , Chinda Thanwadee
Published: July 2022

Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.
Mathematical Model Prototype to Optimise Engineering Management of the Construction Site
Authors: Kontrimovičius Robertas , Ustinovičius Leonas
Published: July 2022

Modern construction technologies strongly affect the environment. Therefore, design and building construction should also follow the sustainable development principle. In this case, design and construction work based on the sustainable development principle should aim at creating a safe and healthy living environment, the economical use of natural resources, and the stimulation of economic development to create the welfare for humans and favourable natural conditions. The article proposes a mathematical algorithm as a comprehensive solution for engineering management of the planning construction site, from the calculation of the earthworks to the automated creation of the engineering geological cross-sections. The paper integrates engineering management, mathematical modelling, and BIM technology. The application of the building information model is undoubtedly one of the most advanced technologies used in the engineering management field, whose advantages have been shown by researchers. In the preliminary stage of construction and production management, decisions should be made regarding material and human resources, schedules, and estimates. The main purpose of this article is the optimisation of the excavation. Other issues important to the organisation and management of the construction are the planning of safe work on the construction site, depending on the soil type. Geotechnical sections allow ascertaining the need for additional fortifications and the depth of the fortifications for safe work. The paper describes the principal mathematical model developed by the authors to design a construction site using BIM technologies. It presents the main formulas of a mathematical algorithm aimed at selecting the objects used on the building site and the need for them. It also gives the main principles of engineering management and methods for selecting the mechanisms used on the construction site. Understandably, a specialist’s visit to the construction site will not be avoided, and it is difficult to present the entire current situation only with a review report or photographs. Using a photogrammetric model, the expert has the opportunity not only to visually evaluate the current condition but also to perform measurements (length, width, and volume) directly in the photogrammetric model. Important and new information about the construction site indicates all relevant obstacles, i.e., plants, surrounding constructions, and other objects.
Safety and Health at the Workplace in the Context of COVID-19: The Case of a Dental Clinic
Authors: Čiutienė Rūta , Čiarnienė Ramunė , Gaidelys Vaidas
Published: July 2022

Governments of different countries and healthcare organisations working in various areas face enormous challenges when trying to combat the COVID-19 pandemic and protect employees, their families and communities. Workplaces can be high-risk environments in terms of the virus outbreak and transmission. This paper aims to disclose the ways for workplace safety improvement in dentistry in the context of COVID-19. The authors present the theoretical model of workplace safety improvement with regard to COVID-19 infection prevention and control measures. The expectations, fears and tasks of dental employees at their workplace in the context of the COVID-19 pandemic were investigated based on the systematic literature review and the qualitative empirical study conducted in Lithuania. The study disclosed that unmet employee expectations could lead to different kinds of fear; the most common sources of anxiety are linked to a higher risk of getting infected, a lack or misuse of protection measures and inadequately performed work. Occupational risks are closely related to the components of a workplace system. Therefore, it is important to apply a holistic approach to improve workplace safety, enhance work performance and minimise the negative effects on an employee, an organisation, a patient and a society.
Plant and Human Pathogenic Bacteria Exchanging their Primary Host Environments
Authors: Sobiczewski Piotr , Iakimova Elena T.
Published: July 2022

Adaptation of plant and human pathogenic bacteria to niches of existence differing from their original ones is a sophisticated mechanism for survival. Research indicates that certain plant bacterial pathogens are capable of causing disease in humans, and some human bacterial pathogens can inhabit the plant environment and cause disease in plants. The infection of humans by plant bacteria may occur at direct physical contact with diseased plants and/or via the respiratory tract in mainly immunocompromised or otherwise stressed individuals. Indirect transmitters of plant and human microbes can be wind, rain, dust, insects, and animals. Human pathogenic bacteria may contaminate the soil and irrigation water, colonize the rhizosphere, more rarely also the phyllosphere, and can survive as epiphytes. Thus, the plant environment may become a reservoir of human pathogens. A source of foodborne human pathogenic bacteria can be unprocessed or unwashed fruits and vegetables. Especially during the last decade, the processes underlying the cross-kingdom performance of pathogenic bacteria are intensively researched. However, in reality, the risk for human health at infections by plant bacteria and by human bacterial pathogens surviving in the plant environment is still underestimated. The goal of the current review is to increase the interest in these issues in agricultural and general environments. Some basic strategies for infection and symptoms of diseases caused by the microorganisms under consideration are described. The potency of certain plant bacterial pathogens to surpass barriers towards humans and the interaction of human bacterial pathogens with the plant environment are addressed and the existing information is critically discussed.
Developing a Leadership and Practice Advancement Training Curriculum for Intern Pharmacists in Nigeria Using the ADDIE Model
Authors: Sariem Comfort , Nwizu Ucheoma , Malhotra Jodie
Published: July 2022

The Problem: Leadership and clinical-pharmacy advancement training are lacking during post-graduate pharmacy internships in Nigeria.
Objective: To design and develop a leadership and clinical-pharmacy advancement training curriculum for intern pharmacists.
Innovation: The curriculum was designed to include leadership development, process improvement, and project management, with a culminating capstone project, using the analysis, design, development, implementation, and evaluation (ADDIE) model. Twelve intern-pharmacists were selected representing three pharmacy schools and four hospitals in Nigeria. Baseline assessments included previous exposure to module topics, beliefs, and level of comfort with module skills.
Findings: The leadership curriculum was developed and tested on 12 intern pharmacists. Their average age±SD was 23.4±1.9 years and 7(58.3%) of the participants were males. The participants had received previous training in leadership (33.3%), project management (16.7%), and process improvement (16.7%).  In addition, 91.6% believed intern pharmacists could be leaders in advancing clinical pharmacy practice.
Conclusion: The leadership and clinical-pharmacy advancement training curriculum was designed and developed using the ADDIE model for intern-pharmacists, who were highly prepared.
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Authors: Bouazizi Arij , Holzbock Adrian , Kressel Ulrich , Dietmayer Klaus , Belagiannis Vasileios
Published: July 2022

In this work, we present MotionMixer, an efficient 3D human body pose forecasting model based solely on multi-layer perceptrons (MLPs). MotionMixer learns the spatial-temporal 3D body pose dependencies by sequentially mixing both modalities. Given a stacked sequence of 3D body poses, a spatial-MLP extracts fine-grained spatial dependencies of the body joints. The interaction of the body joints over time is then modelled by a temporal MLP. The spatial-temporal mixed features are finally aggregated and decoded to obtain the future motion. To calibrate the influence of each time step in the pose sequence, we make use of squeeze-and-excitation (SE) blocks. We evaluate our approach on Human3.6M, AMASS, and 3DPW datasets using the standard evaluation protocols. For all evaluations, we demonstrate state-of-the-art performance, while having a model with a smaller number of parameters. Our code is available at: https://github.com/MotionMLP/MotionMixer.
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Authors: Gao Guangwei , Wang Zhengxue , Li Juncheng , Li Wenjie , Yu Yi , Zeng Tieyong
Published: July 2022

Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning. However, these methods are difficult to be applied in real-world scenarios since they are inevitably accompanied by the problems of computational and memory costs caused by the complex operations. To solve this issue, we propose a Lightweight Bimodal Network (LBNet) for SISR. Specifically, an effective Symmetric CNN is designed for local feature extraction and coarse image reconstruction. Meanwhile, we propose a Recursive Transformer to fully learn the long-term dependence of images thus the global information can be fully used to further refine texture details. Studies show that the hybrid of CNN and Transformer can build a more efficient model. Extensive experiments have proved that our LBNet achieves more prominent performance than other state-of-the-art methods with a relatively low computational cost and memory consumption. The code is available at https://github.com/IVIPLab/LBNet.
Learning Target-aware Representation for Visual Tracking via Informative Interactions
Authors: Guo Mingzhe , Zhang Zhipeng , Fan Heng , Jing Liping , Lyu Yilin , Li Bing , Hu Weiming
Published: July 2022

We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Having observed de facto frameworks perform feature matching simply using the backbone outputs for target localization, there is no direct feedback from the matching module to the backbone network, especially the shallow layers. Concretely, only the matching module can directly access the target information, while the representation learning of candidate frame is blind to the reference target. Therefore, the accumulated target-irrelevant interference in shallow stages may degrade the feature quality of deeper layers. In this paper, we approach the problem by conducting multiple branch-wise interactions inside the Siamese-like backbone networks (InBN). The core of InBN is a general interaction modeler (GIM) that injects the target information to different stages of the backbone network, leading to better target-perception of candidate feature representation with negligible computation cost. The proposed GIM module and InBN mechanism are general and applicable to different backbone types including CNN and Transformer for improvements, as evidenced on multiple benchmarks. In particular, the CNN version improves the baseline with 3.2/6.9 absolute gains of SUC on LaSOT/TNL2K. The Transformer version obtains SUC of 65.7/52.0 on LaSOT/TNL2K, which are on par with recent SOTAs.
Self-supervised Learning and Adaptation for Single Image Dehazing
Authors: Liang Yudong , Wang Bin , Zuo Wangmeng , Liu Jiaying , Ren Wenqi
Published: July 2022

Existing deep image dehazing methods usually depend on supervised learning with a large number of hazy-clean image pairs which are expensive or difficult to collect. Moreover, dehazing performance of the learned model may deteriorate significantly when the training hazy-clean image pairs are insufficient and are different from real hazy images in applications. In this paper, we show that exploiting large scale training set and adapting to real hazy images are two critical issues in learning effective deep dehazing models. Under the depth guidance estimated by a well-trained depth estimation network, we leverage the conventional atmospheric scattering model to generate massive hazy-clean image pairs for the self-supervised pre-training of dehazing network. Furthermore, self-supervised adaptation is presented to adapt pre-trained network to real hazy images. Learning without forgetting strategy is also deployed in self-supervised adaptation by combining self-supervision and model adaptation via contrastive learning. Experiments show that our proposed method performs favorably against the state-of-the-art methods, and is quite efficient, i.e., handling a 4K image in 23 ms. The codes are available at https://github.com/DongLiangSXU/SLAdehazing.
Long-Short Term Cross-Transformer in Compressed Domain for Few-Shot Video Classification
Authors: Luo Wenyang , Liu Yufan , Li Bing , Hu Weiming , Miao Yanan , Li Yangxi
Published: July 2022

Compared with image few-shot learning, most of the existing few-shot video classification methods perform worse on feature matching, because they fail to sufficiently exploit the temporal information and relation. Specifically, frames are usually evenly sampled, which may miss important frames. On the other hand, the heuristic model simply encodes the equally treated frames in sequence, which results in the lack of both long-term and short-term temporal modeling and interaction. To alleviate these limitations, we take advantage of the compressed domain knowledge and propose a long-short term Cross-Transformer (LSTC) for few-shot video classification. For short terms, the motion vector (MV) contains temporal cues and reflects the importance of each frame. For long terms, a video can be natively divided into a sequence of GOPs (Group Of Picture). Using this compressed domain knowledge helps to obtain a more accurate spatial-temporal feature space. Consequently, we design the long-short term selection module, short-term module, and long-term module to comprise the LSTC. Long-short term selection is performed to select informative compressed domain data. Long/short-term modules are utilized to sufficiently exploit the temporal information so that the query and support can be well-matched by cross-attention. Experimental results show the superiority of our method on various datasets.
Hypergraph Structure Learning for Hypergraph Neural Networks
Authors: Cai Derun , Song Moxian , Sun Chenxi , Zhang Baofeng , Hong Shenda , Li Hongyan
Published: July 2022

Hypergraphs are natural and expressive modeling tools to encode high-order relationships among entities. Several variations of Hypergraph Neural Networks (HGNNs) are proposed to learn the node representations and complex relationships in the hypergraphs. Most current approaches assume that the input hypergraph structure accurately depicts the relations in the hypergraphs. However, the input hypergraph structure inevitably contains noise, task-irrelevant information, or false-negative connections.

Treating the input hypergraph structure as ground-truth information unavoidably leads to sub-optimal performance. In this paper, we propose a Hypergraph Structure Learning (HSL) framework, which optimizes the hypergraph structure and the HGNNs simultaneously in an end-to-end way.

HSL learns an informative and concise hypergraph structure that is optimized for downstream tasks. To efficiently learn the hypergraph structure, HSL adopts a two-stage sampling process: hyperedge sampling for pruning redundant hyperedges and incident node sampling for pruning irrelevant incident nodes and discovering potential implicit connections.

The consistency between the optimized structure and the original structure is maintained by the intra-hyperedge contrastive learning module.

The sampling processes are jointly optimized with HGNNs towards the objective of the downstream tasks. Experiments conducted on 7 datasets show shat HSL outperforms the state-of-the-art baselines while adaptively sparsifying hypergraph structures.
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
Authors: Mrabah Nairouz , Bouguessa Mohamed , Ksantini Riadh
Published: July 2022

Most recent graph clustering methods rely on pretraining graph auto-encoders using self-supervision techniques (pretext task) and finetuning based on pseudo-supervision (main task). However, the transition from self-supervision to pseudo-supervision has never been studied from a geometric perspective. Herein, we establish the first systematic exploration of the latent manifolds' geometry under the deep clustering paradigm; we study the evolution of their intrinsic dimension and linear intrinsic dimension. We find that the embedded manifolds undergo coarse geometric transformations under the transition regime: from curved low-dimensional to flattened higher-dimensional. Moreover, we find that this inappropriate flattening leads to clustering deterioration by twisting the curved structures. To address this problem, which we call Feature Twist, we propose a variational graph auto-encoder that can smooth the local curves before gradually flattening the global structures. Our results show a notable improvement over multiple state-of-the-art approaches by escaping Feature Twist.
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Authors: Sun Chenyu , Qian Hangwei , Miao Chunyan
Published: July 2022

In reinforcement learning (RL), it is challenging to learn directly from high-dimensional observations, where data augmentation has recently remedied it via encoding invariances from raw pixels. Nevertheless, we empirically find that not all samples are equally important and hence simply injecting more augmented inputs may instead cause instability in Q-learning. In this paper, we approach this problem systematically by developing a model-agnostic Contrastive-Curiosity-driven Learning Framework (CCLF), which can fully exploit sample importance and improve learning efficiency in a self-supervised manner. Facilitated by the proposed contrastive curiosity, CCLF is capable of prioritizing the experience replay, selecting the most informative augmented inputs, and more importantly regularizing the Q-function as well as the encoder to concentrate more on under-learned data. Moreover, it encourages the agent to explore with a curiosity-based reward. As a result, the agent can focus on more informative samples and learn representation invariances more efficiently, with significantly reduced augmented inputs. We apply CCLF to several base RL algorithms and evaluate on the DeepMind Control Suite, Atari, and MiniGrid benchmarks, where our approach demonstrates superior sample efficiency and learning performances compared with other state-of-the-art methods. Our code is available at https://github.com/csun001/CCLF.