bluuebunny/crossref_metadata_2025_split huggingface dataset:
The interaction of ATP11C-b with ezrin contributes to its polarized localization
Authors: Inoue Hiroki , Takatsu Hiroyuki , Hamamoto Asuka , Takayama Masahiro , Nakabuchi Riki , Muranaka Yumeka , Yagi Tsukasa , Nakayama Kazuhisa , Shin Hye-Won 
Published: September 2021

ABSTRACT
ATP11C, a member of the P4-ATPase family, translocates phosphatidylserine and phosphatidylethanolamine at the plasma membrane. We previously revealed that its C-terminal splice variant ATP11C-b exhibits polarized localization in motile cell lines, such as MDA-MB-231 and Ba/F3. In the present study, we found that the C-terminal cytoplasmic region of ATP11C-b interacts specifically with ezrin. Notably, the LLxY motif in the ATP11C-b C-terminal region is crucial for its interaction with ezrin as well as its polarized localization on the plasma membrane. A constitutively active, C-terminal phosphomimetic mutant of ezrin was colocalized with ATP11C-b in polarized motile cells. ATP11C-b was partially mislocalized in cells depleted of ezrin alone, and exhibited greater mislocalization in cells simultaneously depleted of the family members ezrin, radixin and moesin (ERM), suggesting that ERM proteins, particularly ezrin, contribute to the polarized localization of ATP11C-b. Furthermore, Atp11c knockout resulted in C-terminally phosphorylated ERM protein mislocalization, which was restored by exogenous expression of ATP11C-b but not ATP11C-a. These observations together indicate that the polarized localizations of ATP11C-b and the active form of ezrin to the plasma membrane are interdependently stabilized.
ClCd and ClCf act redundantly at the trans-Golgi network/early endosome and prevent acidification of the Golgi stack
Authors: Scholl Stefan , Hillmer Stefan , Krebs Melanie , Schumacher Karin 
Published: September 2021

ABSTRACT
The trans-Golgi network/early endosome (TGN/EE) serves as the central hub in which exocytic and endocytic trafficking pathways converge and specificity of cargo routing needs to be achieved. Acidification is a hallmark of the TGN/EE and is maintained by the vacuolar H+-ATPase (V-ATPase) with support of proton-coupled antiporters. We show here that ClCd and ClCf, two distantly related members of the Arabidopsis Cl− channel (ClC) family, colocalize in the TGN/EE, where they act redundantly, and are essential for male gametophyte development. Combining an inducible knockdown approach and in vivo pH measurements, we show here that reduced ClC activity does not affect pH in the TGN/EE but causes hyperacidification of trans-Golgi cisternae. Taken together, our results show that ClC-mediated anion transport into the TGN/EE is essential and affects spatiotemporal aspects of TGN/EE maturation as well as its functional separation from the Golgi stack.
O busto de bronze de Getúlio Vargas: memória e política em praça pública
Authors: Liberato Correa Paulo Celso 
Published: September 2021

No dia 24 de agosto de 1954, um busto de bronze retratando o ex-presidente Getúlio Vargas foi anonimamente colocado na Cinelândia, no centro do Rio de Janeiro. A partir deste acontecimento, o artigo apresenta as ressignificações da memória de Vargas e de seu legado político, elaboradas a partir desse monumento, especialmente em datas associadas ao ex-presidente como seus aniversários de nascimento e morte, Finados, 1º de maio, dentre outras. Considerando-se os discursos elaborados sobre o patrimônio como construções sociais que legitimam identidades e relações de poder, será mostrado como o busto de Getúlio Vargas na Cinelândia se tornou um lugar de memória para a encenação simbólica das disputas políticas que marcaram a sociedade brasileira a partir dos anos 1950.
Words are just Noise, let your Actions Speak: Impact of Nonverbal Communication on Undergraduate Medical Education
Authors: Aziz Anbreen , Farhan Farah , Hassan Faiza , Qaiser Aasma 
Published: September 2021

Objective: To explore student’s perceptions regarding impact of kinesics (facial expressions, gestures, head movements and postures) on undergraduate medical education.
Methods: A qualitative exploratory online survey was conducted from July-Sept 2020 among purposively chosen final year BDS students (n=150) of three dental colleges of Islamabad during COVID-19 lockdown phase. Semi-structured survey questions were validated and piloted before execution. Thematic analysis was performed, and consensus was built among all authors regarding findings, hence ensuring analytical triangulation.
Results: Response rate was 46% (69/150). Twenty sub-themes emerged under three domains of kinesics. Participants told that ‘neutral expressions’ frequently used by teachers create ‘boring learning environment’ and ‘hesitation among students to ask questions.’ A smile of teacher imparts ‘new degree of interest in the subject’ and gives ‘freedom of expression’ to the students. On contrary, anger ‘demotivate’ students, instills ‘fear among them’, make them anxious therefore, they are ‘unable to understand lectures’ which ultimately leads to ‘loss interest in the subject’. Use of gestures by teachers creates ‘enjoyable teaching-learning process’ but movements such as clearing throat or shaky legs produce ‘constant split-second interruption’. Moreover, standing posture of teachers bring ‘interest and alertness among students’.
Conclusion: Nonverbal communication can have positive or negative impact on undergraduate medical education. Therefore, teachers may start lecture with a smile and anger should be avoided to produce friendly and healthy learning environment. Faculty training is required for the effective use of nonverbal communication strategies to create an optimal learning environment for the students.
doi: https://doi.org/10.12669/pjms.37.7.4180
How to cite this:Aziz A, Farhan F, Hassan F, Qaiser A. Words are just Noise, let your Actions Speak: Impact of Nonverbal Communication on Undergraduate Medical Education. Pak J Med Sci. 2021;37(7):---------. doi: https://doi.org/10.12669/pjms.37.7.4180
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Incidentally discovered Kawasaki disease in an adult man
Authors: Haider Kamel H. , Alshoabi Sultan Abdulwadoud , Qurashi Abdulaziz A. , Hamid Abdullgabbar M. 
Published: September 2021

Kawasaki disease (KD) is a systemic vasculitis of unknown cause which usually diagnosed in small children. However, KD can be present as coronary disease in adults even with no history of the disease in childhood. Here, we describe a case of KD in a 42-year-old male patient presented with severe retrosternal chest pain radiating to the left arm and provisionally diagnosed as acute coronary disease. Coronary artery ectasia and multiple aneurysms have been confirmed by coronary angiography that led to the diagnosis of KD. The patient was treated with Aspirin 81 mg orally once daily, Apixapan 5 mg orally twice daily, Rosuvastatin 40 mg orally once daily, Bisoprolol 5 mg orally once daily, and omeprazole 20 mg orally once daily. The patient was improved and discharged with anticoagulant drugs for life. Physicians should be aware that KD can be present as coronary disease in adults even with no history of the disease in childhood and has a limited treatment options due to unfavorable coronary anatomy.
doi: https://doi.org/10.12669/pjms.37.7.4199
How to cite this:Haider KH, Alshoabi SA, Qurashi AA, Hamid AM. Incidentally discovered Kawasaki disease in an adult man. Pak J Med Sci. 2021;37(7):---------. doi: https://doi.org/10.12669/pjms.37.7.4199
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Predictors of Psychological Distress in Health Care Staff in Qatar during COVID-19 Pandemic
Authors: Latif Finza , Ahmed Sawssan , Farhan Sumera , Watt Felice , Azeem Muhammad Waqar 
Published: September 2021

Background & Objective: The Coronavirus disease 2019 (COVID-19) pandemic has caused widespread psychological distress. The aims of the study were a) to assess mental health symptoms experienced by expatriate hospital staff and b) to determine the impact of staff wellbeing interventions specific to pandemic related stress.
Methods: The study was conducted from June 2020 until August 2020. A 16-question survey was disseminated online via Survey Monkey to assess the mental health needs of hospital staff during the pandemic. Based on results, a virtual, tiered mental health support model was developed, and staff feedback was collected.
Results: Almost 46.2% of respondents (N: 1001) reported at least one mental health symptom in the initial survey. The most common symptoms were anxiety, low mood and feelings of isolation. Being single and in poor health status were predictors of developing mental health symptoms (P <0.01). Female gender was a predictor for experiencing fear of getting infected. Time constraints at work was the most common reason for not accessing mental health support.
Conclusions: As in other parts of the world, hospital staff in Qatar experienced mental health symptoms and significant fear related to the COVID-19 Pandemic. Being single and in poor health status were risk factors. Mental health interventions at work must take into account time constraints experienced by staff.
doi: https://doi.org/10.12669/pjms.37.7.4533
How to cite this:Latif F, Ahmed SR, Farhan S, Watt F, Azeem MW. Predictors of Psychological Distress in Health Care Staff in Qatar during COVID-19 Pandemic. Pak J Med Sci. 2021;37(7):---------. doi: https://doi.org/10.12669/pjms.37.7.4533
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Self-Learning Threshold-Based Load Balancing
Authors: Goldsztajn Diego , Borst Sem C. , van Leeuwaarden Johan S. H. , Mukherjee Debankur , Whiting Philip A. 
Published: September 2021

We consider a large-scale service system where incoming tasks have to be instantaneously dispatched to one out of many parallel server pools. The user-perceived performance degrades with the number of concurrent tasks and the dispatcher aims at maximizing the overall quality of service by balancing the load through a simple threshold policy. We demonstrate that such a policy is optimal on the fluid and diffusion scales, while only involving a small communication overhead, which is crucial for large-scale deployments. In order to set the threshold optimally, it is important, however, to learn the load of the system, which may be unknown. For that purpose, we design a control rule for tuning the threshold in an online manner. We derive conditions that guarantee that this adaptive threshold settles at the optimal value, along with estimates for the time until this happens. In addition, we provide numerical experiments that support the theoretical results and further indicate that our policy copes effectively with time-varying demand patterns. Summary of Contribution: Data centers and cloud computing platforms are the digital factories of the world, and managing resources and workloads in these systems involves operations research challenges of an unprecedented scale. Due to the massive size, complex dynamics, and wide range of time scales, the design and implementation of optimal resource-allocation strategies is prohibitively demanding from a computation and communication perspective. These resource-allocation strategies are essential for certain interactive applications, for which the available computing resources need to be distributed optimally among users in order to provide the best overall experienced performance. This is the subject of the present article, which considers the problem of distributing tasks among the various server pools of a large-scale service system, with the objective of optimizing the overall quality of service provided to users. A solution to this load-balancing problem cannot rely on maintaining complete state information at the gateway of the system, since this is computationally unfeasible, due to the magnitude and complexity of modern data centers and cloud computing platforms. Therefore, we examine a computationally light load-balancing algorithm that is yet asymptotically optimal in a regime where the size of the system approaches infinity. The analysis is based on a Markovian stochastic model, which is studied through fluid and diffusion limits in the aforementioned large-scale regime. The article analyzes the load-balancing algorithm theoretically and provides numerical experiments that support and extend the theoretical results.
Why Perfect Tests May Not Be Worth Waiting For: Information as a Commodity
Authors: Drakopoulos K. , Randhawa R. S. 
Published: September 2021

Information products provide agents with additional information that can be used to update actions. In many situations, access to such products can be quite limited. For instance, in epidemics, there tends to be a limited supply of medical testing kits, or tests. These tests are information products because their output of a positive or a negative answer informs individuals and authorities on the underlying state and the appropriate course of action. In this paper, using an analytical model, we show how the accuracy of a test in detecting the underlying state affects the demand for the information product differentially across heterogeneous agents. Correspondingly, the test accuracy can serve as a rationing device to ensure that the limited supply of information products is appropriately allocated to the heterogeneous agents. When test availability is low and the social planner is unable to allocate tests in a targeted manner to the agents, we find that moderately good tests can outperform perfect tests in terms of social outcome. This paper was accepted by Charles Corbett, operations management.
The Wisdom of Model Crowds
Authors: He Lisheng , Analytis Pantelis P. , Bhatia Sudeep 
Published: September 2021

A wide body of empirical research has revealed the descriptive shortcomings of expected value and expected utility models of risky decision making. In response, numerous models have been advanced to predict and explain people’s choices between gambles. Although some of these models have had a great impact in the behavioral, social, and management sciences, there is little consensus about which model offers the best account of choice behavior. In this paper, we conduct a large-scale comparison of 58 prominent models of risky choice, using 19 existing behavioral data sets involving more than 800 participants. This allows us to comprehensively evaluate models in terms of individual-level predictive performance across a range of different choice settings. We also identify the psychological mechanisms that lead to superior predictive performance and the properties of choice stimuli that favor certain types of models over others. Moreover, drawing on research on the wisdom of crowds, we argue that each of the existing models can be seen as an expert that provides unique forecasts in choice predictions. Consistent with this claim, we find that crowds of risky choice models perform better than individual models and thus provide a performance bound for assessing the historical accumulation of knowledge in our field. Our results suggest that each model captures unique aspects of the decision process and that existing risky choice models offer complementary rather than competing accounts of behavior. We discuss the implications of our results on theories of risky decision making and the quantitative modeling of choice behavior. This paper was accepted by Yuval Rottenstreich, behavioral economics and decision analysis.
Research and development round-up: November 2007
Authors: O'Connell Nicola 
Published: September 2021

In brief Combination therapy plus antibiotics for multiple sclerosis Rheumatoid arthritis patients achieve clinical remission with tocilizumab Cholesterol-lowering drugs and haemorrhagic stroke ACEIs and ARBs provide equal blood pressure control NSAIDs may reduce risk of Parkinson's disease Tezosentan does not appear to improve outcomes for acute heart failure Rotavirus vaccine demonstrates efficacy in premature infants Oseltamivir effective for treatment and prevention of influenza in children Common treatments for sinus infections may not be effective Marijuana compound shows promise in fighting breast cancer
Back to school with asthma in 2021
Authors: Henry Heather 
Published: September 2021

September is a peak time for asthma exacerbations in school-aged children. Heather Henry looks at the role of the general practice nurse in reducing this risk Each September marks a peak in asthma exacerbations in children returning to school for the autumn term. Children and families face the challenges of disturbed asthma management regimes, seasonal infections and asthma triggers. This year presents an additional challenge, coming as it does during a global pandemic, with primary care at breaking point. This article presents a pragmatic approach to prioritising the most at-risk children.
High-sensitivity determination of available cobalt in soil using laser-induced breakdown spectroscopy assisted with laser-induced fluorescence
Authors: Zhou Ran , Liu Ke , Tang Zhiyang , Gao Peiyuan , Yan Jiujiang , Li Xiangyou 
Published: September 2021

Conventional laser-induced breakdown spectroscopy could not conduct high-sensitivity
determination of available cobalt due to spectral interference and
weak spectral intensity. To improve the poor detection sensitivity of
available cobalt in soil, available cobalt was extracted from soil and
prepared. Laser-induced breakdown spectroscopy assisted with
laser-induced fluorescence was introduced to excite and detect the
cobalt element. The results showed that coefficients of the
calibration curve for the available cobalt element could reach 0.9991,
and the limits of detection could reach 0.005 mg/kg in soil under
optimized conditions, which were all much better than conventional
LIBS and reach the international minimum detection standards. This
work provides a possible approach for detecting available trace
elements in soil.
Sensing characteristics of grating assisted counterpropagating cladding modes in optical fibers
Authors: Koley Avijit , Tripathi Saurabh Mani 
Published: September 2021

In this paper, using full vector modal field analysis, we present physical parameter sensing, e.g., temperature, axial strain, bulk refractive index, and affinity sensing characteristics of counterpropagating cladding modes in optical fibers. Counterpropagating cladding modes (

H
E

m
n

) are considered to be excited by resonant power coupling from the fundamental core mode using a suitably designed fiber Bragg grating (FBG). We show that for such couplings, the bandwidths of reflection spectra are much smaller than those obtained for conventional core mode reflecting FBGs. Next, we also show that the reflection bandwidth increases linearly with increasing grating strength, whereas it decreases exponentially with increasing grating length. The reflection spectra of such FBGs, as a function of different ambient physical perturbation parameters, are obtained, and then the grating sensitivity corresponding to those parameters is established. Interestingly, we have noticed that despite having the same evanescent field in the analyte region, unlike the long-period grating assisted co-propagating cladding modes (

H
E

m
n

), the same cladding modes while propagating counter to the core mode are weakly sensitive to changes in the ambient refractive index. The reason behind this observation is discussed.
Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review
Authors: Hussain-Alkhateeb Laith , Rivera Ramírez Tatiana , Kroeger Axel , Gozzer Ernesto , Runge-Ranzinger Silvia 
Published: September 2021

BackgroundEarly warning systems (EWSs) are of increasing importance in the context of outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika. A scoping review has been undertaken for all 5 diseases to summarize existing evidence of EWS tools in terms of their structural and statistical designs, feasibility of integration and implementation into national surveillance programs, and the users’ perspective of their applications.MethodsData were extracted from Cochrane Database of Systematic Reviews (CDSR), Google Scholar, Latin American and Caribbean Health Sciences Literature (LILACS), PubMed, Web of Science, and WHO Library Database (WHOLIS) databases until August 2019. Included were studies reporting on (a) experiences with existing EWS, including implemented tools; and (b) the development or implementation of EWS in a particular setting. No restrictions were applied regarding year of publication, language or geographical area.FindingsThrough the first screening, 11,710 documents for dengue, 2,757 for Zika, 2,706 for chikungunya, 24,611 for malaria, and 4,963 for yellow fever were identified. After applying the selection criteria, a total of 37 studies were included in this review. Key findings were the following: (1) a large number of studies showed the quality performance of their prediction models but except for dengue outbreaks, only few presented statistical prediction validity of EWS; (2) while entomological, epidemiological, and social media alarm indicators are potentially useful for outbreak warning, almost all studies focus primarily or exclusively on meteorological indicators, which tends to limit the prediction capacity; (3) no assessment of the integration of the EWS into a routine surveillance system could be found, and only few studies addressed the users’ perspective of the tool; (4) almost all EWS tools require highly skilled users with advanced statistics; and (5) spatial prediction remains a limitation with no tool currently able to map high transmission areas at small spatial level.ConclusionsIn view of the escalating infectious diseases as global threats, gaps and challenges are significantly present within the EWS applications. While some advanced EWS showed high prediction abilities, the scarcity of tool assessments in terms of integration into existing national surveillance systems as well as of the feasibility of transforming model outputs into local vector control or action plans tends to limit in most cases the support of countries in controlling disease outbreaks.