bluuebunny/crossref_metadata_2025 huggingface dataset:
A COMPARATIVE ANALYSIS OF FERTILITY CHARACTERISTICS OF CHILLI PEPPERS GROWN UNDER ORGANIC AND CONVENTIONAL CONDITIONS
Authors: Stančić Ivica , Petrović Saša , Živić Jelica , Pešić Bratislav , Stančić Nemanja
Published: August 2019

The paper examines the possibilities of growing Chilli Habanero peppers (Red Savina Seed) in a protected environment under organic and conventional conditions. The experiment was conducted on 30 plants in five iterations. In the course of the aforementioned experiment various agricultural techniques were applied in accordance with the principles of organic and conventional production. The branches of pepper stems have been reduced to two with the aim of decreasing the number of sprouts and thus increasing the number and quality of yield. The harvest was conducted successively in accordance with the physiological maturation of the yield. The following indicators have been observed: average yield mass (g), the number of fruits per plant, average yield per plant (g) and yield per m2 (g). On the basis of the results obtained in the course of this research study one can deduce that organic production of chilli pepper in a protected environment produces very good results. However, by comparing the yield components in the conditions of organic and conventional growth the authors became aware of significant differences in favour of conventional production, which can be compensated by a higher nutritional value and a higher price on the market.
EFFECT OF ADDITIVE ON THE PROCESS PARAMETERS AND COAGULATION IN A PRODUCTION OF FETA CHEESE
Authors: M. Miljković Vojkan , N. Miljković Milena , Rakić Violeta
Published: August 2019

Milk and milky products are multycomponent systems. The technology of milk processing mostly depends on the ways of separating these components. In addition to classic methods of separation (evaporation, suction and distillation), modern methods allows separation similiar compounds and mixtures that are sensitive to temperature changes, pH, light, etc. The most important separation processes are: reverse osmosis, microfiltration and ultrafiltration. The membrane technique of the ultrafiltration process is the separation of the components of one solution depending on its molecular size (10-1000). In the process of milk tetrating, two separate fractions are obtained: retentate - a fraction containing proteins with minimal amounts of lactose and mineral matter and permeate - fraction containing lactose, mineral matter, non-protein nitrogen, free amino acids and vitamins. In this paper, the results of physical and chemical testing of feta in the process of ripening after 15 days, after a month, after month and a half and after 2 months are presented. The results of the material balance in feta are also given in the paper. They are calculated by the relationship between the standard quantity of milk (100 l) and the amount of feta cheese that is obtained as the final product after ripening.
A gyermekkori uveitis klinikai jellemzői és terápiája
Authors: Kiss Judit , Gaál Valéria , Nyul Zoltán , Mosdósi Bernadett
Published: August 2019

Abstract:

Introduction: Uveitis is characterized by inflammation of the middle layer of the eye. Its overall incidence is low. Autoimmune diseases and infections are the most common underlying diseases. Out of the autoimmune diseases, juvenile idiopathic arthritis is associated most frequently with uveitis. The topical ophthalmological treatment may fail in a significant proportion of the patients and immunomodulatory therapy may be required. Aim and method: In a retrospective study, data of 33 children diagnosed and treated with uveitis at the Department of Pediatrics and Ophthalmology, University of Pécs during the last 5 years were collected and analyzed. Results: The mean age of the patients was 9.3 (0.3–17.8) years. Boys and girls were equally affected with an exception of patients with juvenile idiopathic arthritis where female predominance was found. An underlying disease could be identified in 60% of the cases (20/33). Uveitis was associated in 12 patients with juvenile idiopathic arthritis, in 2 patients with Behcet’s disease and in a single case with inflammatory bowel disease. Infections have been proven in 5 patients. The autoimmune diseases caused an eye inflammation typically in anterior localization, in contrast to the infections that resulted in posterior uveitis. The majority of the patients required systemic treatment. 3 of them received systemic corticosteroid and 18 patients methotrexate as disease-modifying antirheumatic drug. 13 children with severe disease activity required biological therapy (adalimumab injection). Remission could be achieved in 1.45 (0.75–2.5) months. Conclusion: Pediatric uveitis is of great importance. Early diagnosis, adequate therapy and follow-up require multidisciplinary cooperation. Orv Hetil. 2019; 160(34): 1335–1339.
A gluténérzékenység extraintestinalis spektruma
Authors: Fedor István , Zöld Éva , Barta Zsolt
Published: August 2019

Abstract:

Although celiac disease (gluten-sensitive enteropathy) is a relatively well known malady, yet is surrounded by several misconceptions. It is in fact, a multi-systemic autoimmune disorder with a wide spectrum of possible presentations, though most clinicians regard it as a solely gastrointestinal disease. Another misconception that it is a disease of paediatric age group. Thus, the diagnosis of adult or elderly patients is often delayed. Recognition of the disease in the adults can be challenging, as there are less pronounced gastrointestinal symptoms, and patients present with other manifestations (i.e., neurologic, cardiovascular, hepatobiliary, or hematologic involvement are common). As these extraintestinal manifestations are less well known among practicing physicians, here we propose a brief overview of these. We aimed to summarize the available literature on the extraintestinal manifestations associated with gluten sensitivity. Orv Hetil. 2019; 160(34): 1327–1334.
Performance of SEACLID/CORDEX-SEA multi-model experiments in simulating temperature and rainfall in Vietnam
Authors: Tuyet Nguyen Thi , Thanh Ngo Duc , Tan Phan Van
Published: August 2019

The study examined the performance of six regional climate experiments conducted under the framework of the Southeast Asia Regional Climate Downscaling/Coordinated Regional Climate Downscaling Experiment-Southeast Asia (SEACLID/CORDEX-SEA) project and their ensemble product (ENS) in simulating temperature at 2 m (T2m) and rainfall (R) in seven climatic sub-regions of Vietnam. The six experiments were named following the names of their driving Global Climate Models (GCMs), i.e., CNRM, CSIRO, ECEA, GFDL, HADG and MPI. The observation data for the period 1986–2005 from 66 stations in Vietnam were used to compare with the model outputs. Results showed that cold biases were prominent among the experiments and ENS well reproduced the seasonal cycle of temperature in the Northeast, Red River Delta, North Central and Central Highlands regions. For rainfall, all the experiments showed wet biases and CSIRO exhibited the best. A scoring system was elaborated to objectively rank the performance of the experiments and the ENS experiment was reported to be the best.
Nordplus Project
Authors: Harbo Karen , Jönsson Karin , Tonning Anne Sissel Vedvik
Published: August 2019

The Nordplus Project: The Digital University Library, http://library.au.dk/blogs/nordplus 

Nordplus (NP) is the Nordic Council of Ministers' most important programme in the area of lifelong learning (http://www.nordplusonline.org/) and provides funding for activities and networking projects across  the Nordic and Baltic region. This development project has applied for and received funding from the  NP2016 and NP2017 programmes – and have applied again in 2018 – Lund University Libraries, University of  Bergen Library, and The Royal Library Aarhus University Library. 

The aim of this project has been to meet and establish partnership with faculty and students as co-creators in the emerging blended learning environments. One important way of doing this has been (NP2016) to develop subject specific digital learning objects, supporting academic skills and students’ digital practice. The project group has leant on the method ABC (Arena Blended Connected) curriculum design,  introduced to us by researchers from pedagogical departments at the universities. 

The NP2017 part of the project is focusing on the implementation and evaluation of the new practice. Regarding evaluation, the project is again leaning on research expertise at the universities, having  been introduced to “Argumentativa kursusutvärderingsmodeller” (Carola Aili, Lund University), qualitative research design and mixed methods (Rune Krumsvik, University of Bergen).

In addition comes a very important issue; the intercultural aspect of sharing experience and knowledge within the three Nordic organisations of Higher Education.

A special sessionFirst we will present and discuss not only the products, but also the work processes and various methods used in the projects as well as the benefits of the intercultural Nordic collaboration. The format will we short presentations (pitches and posters) – and discussion.

Secondly, the NP18 application includes a plan for extending the existing project network to several Nordic educational settings. Therefore, the project group invites Nordic conference colleagues, who would like to discuss an extended Nordic network, to join this session. The format for this part will be network dating and discussion in an open space framework.
Knowledge and competence for a networked world
Authors: Dohn Nina Bonderup
Published: August 2019

KEYNOTE SPEECH.

The world of today may be viewed as networked, both socially and technologically, with characteristics such as globalization, mobility of people across contexts, bottom-up user involvement, interweaving of physical and virtual contexts, and general pervasiveness of ICT. 

In her talk, Nina analyzes the competence demands which are posed on citizens in a networked world. She argues for a view of knowledge as a unity of experiential, practical, and propositional aspects, realized concretely in relation to the demands of the situation, yet points out that in a networked world, people are continuously required to use knowledge, learned in one setting, in new contexts. This raises the question of how people transform and resituate knowledge across contexts.

Finally, Nina discusses implications of her talk for design for learning the knowledge and competence required. Throughout the talk, she will engage in discussion with participants about the way her  heoretical points plays out in library practice and which roles libraries and librarians can have as facilitators of others’ development of knowledge and competence for a networked world.
Reference Management Tools - Same, Same but Different
Authors: Bechman Mette , Ekstrøm Jeanette , Remvig Kirstin
Published: August 2019

Reference management is an essential part of academic practice, for staff and students alike, and software to support reference management has grown into a standard, almost universal, service across Higher Education institutions around the world. 

The market is huge and the solutions plentiful. Some are free and others very pricey, some are extremely basic while others offer very advanced features. So how does one decide which software to run  with? 

In this workshop, we will explore four popular RM tools that all do the same basic jobs (i.e. store data and support the implementation of reference regimes) but on top of that also offer different and unique features, collaborative, organisational, or compositional. 

The tools in focus are: Citavi, Endnote, Mendeley, & Zotero.

This workshop is an opportunity for everybody interested in software-based reference management, seasoned users as well as curious newcomers, to explore as a group and discuss selected  solutions, to share best-practice experiences, and, hopefully, to understand more clearly what is gained and  what is missed when institutions opt for one universal software solution at the expense of others.
NVivo – an Introduction
Authors: Faber Hege , Jensen Magnus Rom , Røddesnes Sara
Published: August 2019

Are you curious about the possibilities of giving courses in Nvivo in your library? In this workshop, we will give a brief overview of the software, and show some basic operations in the program. The goal for the workshop is that participants get a good understanding of what the software can (and cannot) do. The workshop is aimed at users with little or no experience in using Nvivo or other CAQDAS software. 

The workshop will briefly cover:· Starting a new project· Importing text, video/sound, pictures and social media data· Pros and cons to different methods· Basic analysis of data· Presenting your data and analysis· Q and A

You can bring your own computer with Nvivo installed. This is not mandatory, feel free to join us with or without your computer! It is not necessary to listen to our previous presentation (Track Session 2A) to participate in the workshop.
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Authors: Xu Yunlu , Zhang Chengwei , Cheng Zhanzhan , Xie Jianwen , Niu Yi , Pu Shiliang , Wu Fei
Published: August 2019

This paper proposes a segregated temporal assembly recurrent (STAR) network for weakly-supervised multiple action detection. The model learns from untrimmed videos with only supervision of video-level labels and makes prediction of intervals of multiple actions. Specifically, we first assemble video clips according to class labels by an attention mechanism that learns class-variable attention weights and thus helps the noise relieving from background or other actions. Secondly, we build temporal relationship between actions by feeding the assembled features into an enhanced recurrent neural network. Finally, we transform the output of recurrent neural network into the corresponding action distribution. In order to generate more precise temporal proposals, we design a score term called segregated temporal gradient-weighted class activation mapping (ST-GradCAM) fused with attention weights. Experiments on THUMOS’14 and ActivityNet1.3 datasets show that our approach outperforms the state-of-theart weakly-supervised method, and performs at par with the fully-supervised counterparts.
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Authors: Yang Fan , Hinami Ryota , Matsui Yusuke , Ly Steven , Satoh Shin’ichi
Published: August 2019

Diffusion is commonly used as a ranking or re-ranking method in retrieval tasks to achieve higher retrieval performance, and has attracted lots of attention in recent years. A downside to diffusion is that it performs slowly in comparison to the naive k-NN search, which causes a non-trivial online computational cost on large datasets. To overcome this weakness, we propose a novel diffusion technique in this paper. In our work, instead of applying diffusion to the query, we precompute the diffusion results of each element in the database, making the online search a simple linear combination on top of the k-NN search process. Our proposed method becomes 10∼ times faster in terms of online search speed. Moreover, we propose to use late truncation instead of early truncation in previous works to achieve better retrieval performance.
Safeguarded Dynamic Label Regression for Noisy Supervision
Authors: Yao Jiangchao , Wu Hao , Zhang Ya , Tsang Ivor W. , Sun Jun
Published: August 2019

Learning with noisy labels is imperative in the Big Data era since it reduces expensive labor on accurate annotations. Previous method, learning with noise transition, has enjoyed theoretical guarantees when it is applied to the scenario with the class-conditional noise. However, this approach critically depends on an accurate pre-estimated noise transition, which is usually impractical. Subsequent improvement adapts the preestimation in the form of a Softmax layer along with the training progress. However, the parameters in the Softmax layer are highly tweaked for the fragile performance and easily get stuck into undesired local minimums. To overcome this issue, we propose a Latent Class-Conditional Noise model (LCCN) that models the noise transition in a Bayesian form. By projecting the noise transition into a Dirichlet-distributed space, the learning is constrained on a simplex instead of some adhoc parametric space. Furthermore, we specially deduce a dynamic label regression method for LCCN to iteratively infer the latent true labels and jointly train the classifier and model the noise. Our approach theoretically safeguards the bounded update of the noise transition, which avoids arbitrarily tuning via a batch of samples. Extensive experiments have been conducted on controllable noise data with CIFAR10 and CIFAR-100 datasets, and the agnostic noise data with Clothing1M and WebVision17 datasets. Experimental results have demonstrated that the proposed model outperforms several state-of-the-art methods.
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
Authors: Yuan Longhao , Li Chao , Mandic Danilo , Cao Jianting , Zhao Qibin
Published: August 2019

In tensor completion tasks, the traditional low-rank tensor decomposition models suffer from the laborious model selection problem due to their high model sensitivity. In particular, for tensor ring (TR) decomposition, the number of model possibilities grows exponentially with the tensor order, which makes it rather challenging to find the optimal TR decomposition. In this paper, by exploiting the low-rank structure of the TR latent space, we propose a novel tensor completion method which is robust to model selection. In contrast to imposing the low-rank constraint on the data space, we introduce nuclear norm regularization on the latent TR factors, resulting in the optimization step using singular value decomposition (SVD) being performed at a much smaller scale. By leveraging the alternating direction method of multipliers (ADMM) scheme, the latent TR factors with optimal rank and the recovered tensor can be obtained simultaneously. Our proposed algorithm is shown to effectively alleviate the burden of TR-rank selection, thereby greatly reducing the computational cost. The extensive experimental results on both synthetic and real-world data demonstrate the superior performance and efficiency of the proposed approach against the state-of-the-art algorithms.
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
Authors: Yuan Yuan , Xiong Zhitong , Wang Qi
Published: August 2019

RGB image classification has achieved significant performance improvement with the resurge of deep convolutional neural networks. However, mono-modal deep models for RGB image still have several limitations when applied to RGB-D scene recognition. 1) Images for scene classification usually contain more than one typical object with flexible spatial distribution, so the object-level local features should also be considered in addition to global scene representation. 2) Multi-modal features in RGB-D scene classification are still under-utilized. Simply combining these modal-specific features suffers from the semantic gaps between different modalities. 3) Most existing methods neglect the complex relationships among multiple modality features. Considering these limitations, this paper proposes an adaptive crossmodal (ACM) feature learning framework based on graph convolutional neural networks for RGB-D scene recognition. In order to make better use of the modal-specific cues, this approach mines the intra-modality relationships among the selected local features from one modality. To leverage the multi-modal knowledge more effectively, the proposed approach models the inter-modality relationships between two modalities through the cross-modal graph (CMG). We evaluate the proposed method on two public RGB-D scene classification datasets: SUN-RGBD and NYUD V2, and the proposed method achieves state-of-the-art performance.
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
Authors: Zhang Kaihao , Luo Wenhan , Ma Lin , Li Hongdong
Published: August 2019

We study the problem of sketch image recognition. This problem is plagued with two major challenges: 1) sketch images are often scarce in contrast to the abundance of natural images, rendering the training task difficult, and 2) the significant domain gap between sketch image and its natural image counterpart makes the task of bridging the two domains challenging. In order to overcome these challenges, in this paper we propose to transfer the knowledge of a network learned from natural images to a sketch network - a new deep net architecture which we term as cousin network. This network guides a sketch-recognition network to extract more relevant features that are close to those of natural images, via adversarial training. Moreover, to enhance the transfer ability of the classification model, a sketch-to-image attribute warehouse is constructed to approximate the transformation between the sketch domain and the real image domain. Extensive experiments conducted on the TU-Berlin dataset show that the proposed model is able to efficiently distill knowledge from natural images and achieves superior performance than the current state of the art.
Learning to Localize Objects with Noisy Labeled Instances
Authors: Zhang Xiaopeng , Yang Yang , Feng Jiashi
Published: August 2019

This paper addresses Weakly Supervised Object Localization (WSOL) with only image-level supervision. We model the missing object locations as latent variables, and contribute a novel self-directed optimization strategy to infer them. With the strategy, our developed Self-Directed Localization Network (SD-LocNet) is able to localize object instance whose initial location is noisy. The self-directed inference hinges on an adaptive sampling method to identify reliable object instance via measuring its localization stability score. In this way, the resulted model is robust to noisy initialized object locations which we find is important in WSOL. Furthermore, we introduce a reliability induced prior propagation strategy to transfer object priors of the reliable instances to those unreliable ones by promoting their feature similarity, which effectively refines the unreliable object instances for better localization. The proposed SD-LocNet achieves 70.9% Cor-Loc and 51.3% mAP on PASCAL VOC 2007, surpassing the state-of-the-arts by a large margin.
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Authors: Zhao Jian , Cheng Yu , Cheng Yi , Yang Yang , Zhao Fang , Li Jianshu , Liu Hengzhu , Yan Shuicheng , Feng Jiashi
Published: August 2019

Despite the remarkable progress in face recognition related technologies, reliably recognizing faces across ages still remains a big challenge. The appearance of a human face changes substantially over time, resulting in significant intraclass variations. As opposed to current techniques for ageinvariant face recognition, which either directly extract ageinvariant features for recognition, or first synthesize a face that matches target age before feature extraction, we argue that it is more desirable to perform both tasks jointly so that they can leverage each other. To this end, we propose a deep Age-Invariant Model (AIM) for face recognition in the wild with three distinct novelties. First, AIM presents a novel unified deep architecture jointly performing cross-age face synthesis and recognition in a mutual boosting way. Second, AIM achieves continuous face rejuvenation/aging with remarkable photorealistic and identity-preserving properties, avoiding the requirement of paired data and the true age of testing samples. Third, we develop effective and novel training strategies for end-to-end learning the whole deep architecture, which generates powerful age-invariant face representations explicitly disentangled from the age variation. Extensive experiments on several cross-age datasets (MORPH, CACD and FG-NET) demonstrate the superiority of the proposed AIM model over the state-of-the-arts. Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.
Recurrent Attention Model for Pedestrian Attribute Recognition
Authors: Zhao Xin , Sang Liufang , Ding Guiguang , Han Jungong , Di Na , Yan Chenggang
Published: August 2019

Pedestrian attribute recognition is to predict attribute labels of pedestrian from surveillance images, which is a very challenging task for computer vision due to poor imaging quality and small training dataset. It is observed that many semantic pedestrian attributes to be recognised tend to show spatial locality and semantic correlations by which they can be grouped while previous works mostly ignore this phenomenon. Inspired by Recurrent Neural Network (RNN)’s super capability of learning context correlations and Attention Model’s capability of highlighting the region of interest on feature map, this paper proposes end-to-end Recurrent Convolutional (RC) and Recurrent Attention (RA) models, which are complementary to each other. RC model mines the correlations among different attribute groups with convolutional LSTM unit, while RA model takes advantage of the intra-group spatial locality and inter-group attention correlation to improve the performance of pedestrian attribute recognition. Our RA method combines the Recurrent Learning and Attention Model to highlight the spatial position on feature map and mine the attention correlations among different attribute groups to obtain more precise attention. Extensive empirical evidence shows that our recurrent model frameworks achieve state-of-the-art results, based on pedestrian attribute datasets, i.e. standard PETA and RAP datasets.
Victorian brick sewers for a clean flowing Indian colonial city
Authors: Dey Ayanangshu , Downey Declan B
Published: August 2019

Effort to provide an organised sanitation and drainage facility for Calcutta’s (India) annual inundation events during monsoon and high tides in the River Hooghly was initiated by Lord Wellesley in 1803. Subsequently, the Lottery Committee (1809) and Fever Committee (1840) worked on relieving the city from its waterlogging and sanitation problems. Its extremely unhygienic sanitary conditions, filthy status of drains and high rate of disease propagation and sickness could only be compared with the infamous ‘Great Stink’ of London (1858). Contemporary to the works being executed by Sir Joseph Bazalgette for developing London’s central sewerage system, Calcutta’s first brick-sewer system was adopted for construction in 1858 and was commissioned in 1868. Several sanitation schemes were proposed, but the one put forward by William Clark was taken up following extensive review. Calcutta witnessed the golden era of large-diameter brick-sewer construction over the following decades. By 1890, Calcutta was provided with almost 300 km of centralised sewer network. This paper documents the history of the development of this combined sewerage and drainage system, the oldest stretches of which were recently rehabilitated.
The refurbishment of Telford’s Nantwich Aqueduct, UK
Authors: Hunt Gavin , Day William
Published: August 2019

The Grade II*-listed Nantwich Aqueduct (Cheshire, UK) was designed by Thomas Telford and completed in 1828. It carries the Shropshire Union Canal across the A534 Chester Road, so forming the striking ‘Gateway to Nantwich’. Ironwork was provided by Telford’s long-time collaborator and recognised master of his art, William Hazledine. Despite its modest scale relative to the previous great and iconic structures that the pair had previously been responsible for, Nantwich Aqueduct showcases Telford’s and Hazledine’s respective expertise at the swansong of their careers. The aqueduct underwent refurbishment works in September 2015. Works which were found to be required included repairs to several original cast-iron features, including a replacement arch spandrel plate, along with restorative work to various stone and brickwork elements. Due to the aqueduct’s heritage, close consultation with the heritage authority was duly undertaken from the outset. Measures were taken to satisfy the stringent requirements, such as in situ and laboratory metallurgy testing, masonry matching and early involvement with specialist structural cast-ironwork contractors.
Iowa Statewide Stream Nitrate Loading: 2017-2018 Update
Authors: Jones Christopher S. , Schilling Keith E.
Published: August 2019

In response to ongoing hypoxia in the Gulf of Mexico, several states in the Mississippi River basin have adopted nutrient reduction plans in recent years designed to arrest the flow of nitrogen (N) and phosphorus (P) from both point and non-point sources to the stream network. Iowa's Nutrient Reduction Strategy, implemented in 2012, aims to reduce stream loading of these nutrients by 45% within a yet-to-be-defined time frame. Because the state has chosen to integrate accountability into the strategy through the numerical objective, ongoing water monitoring is necessary to credibly measure progress. The primary objective of this research was to use water quality monitoring and discharge data to update statewide nitrate-nitrogen (NO3-N) loading using the combined data sets generated by in situ water quality sensors and traditional grab sample monitoring conducted by state government. Our research shows that the 5-year running annual average of nitrate-nitrogen loading continues to increase, and after the 2018 water year is 73% higher than that calculated in 2003. Loads from Iowa areas draining to the Missouri River are increasing more rapidly than loads from areas draining to the upper Mississippi River: 132% versus 55% since 2003. This shows that best management practices designed to stem the loss of nutrients from the corn-soybean system must be widely adopted and robustly designed for extreme environmental conditions if Iowa is to meet its water quality objectives.
Results of a randomized, double-blind, placebo-controlled clinical trial in adult patients with acute respiratory viral infection
Authors: Sel’kova E. P. , Kostinov M. P. , Bart B. Ya. , Aver’yanov A. V. , Petrov D. V.
Published: August 2019

The aim of this study was to investigate efficacy and safety of released-active antibodies against interferon-gamma, CD4-receptor, and histamine in adult patients with acute respiratory viral infection (ARVI).

Methods. This multicenter, randomized, double-blind, placebo-controlled clinical trial in parallel groups was carried out in 2011 – 2012. Data of 161 ambulatory patients from 4 centers at Russian Federation were included in the analysis. The patients' age was 18 to 60 years. Patients with ARVI signs duration ≤ 48 hours were enrolled in the study. The patients were randomly assigned for the treatment with released-active antibodies against IFN-γ, CD4-receptor, and histamine (the active treatment group; n = 76), or placebo (placebo group; n = 85) for 5 days at 1:1 ratio. The randomization was made using the block randomization method. The treatment efficacy was evaluated according to number of patients with normal body temperature (≤ 37.0 °C) over 5 days of the treatment. Additionally, we evaluated the need in antipyretics, duration and severity of clinical symptoms and complications.

Results. During the treatment period, the number of patients with normal body temperature was higher in the active treatment group. Additionally, patients of this group needed antipyretics less often compared to the placebo group. Deterioration and complicated course of the disease were not registered in the active treatment group compared to the placebo group.

Conclusion. The results of this multicenter, randomized, double-blind, placebo-controlled clinical trial in parallel groups demonstrated therapeutic efficacy and safety of released-active antibodies against IFN-γ, CD4-receptor, and histamine in adult patients with acute respiratory viral infection.
Chronic rhinosinusitis in adult patients with cystic fibrosis: clinical manifestation and therapeutic approaches
Authors: Shumkova G. L. , Amelina E. L. , Svistushkin V. M. , Sin’kov E. V. , Krasovskiy S. A. , Afanas’yeva M. V. , Polikarpova S. V. , Chernukha M. Yu. , Avetisyan L. R. , Shaginyan I. A.
Published: August 2019

The aim of this study was to evaluate prevalence of chronic rhinosinusitis (CRS) and nasal polyps in adult patients with cystic fibrosis (CF) in Russian Federation. Additionally, we investigated the clinical course of CRS and developed the optimal therapeutic strategy.

Methods. Three hundred and forty eight CF patients were involved in the study. Physical examination, computed tomography (CT) of paranasal sinuses and audiometry, if needed, were used. CRS and bilateral nasal polyps were diagnosed in 28 patients. Nasal endoscopy, SNOT-20 questionnaire, rhinomanometry, micro - biological examination of sputum and mucus from paranasal sinuses (obtained during puncture or surgery), spirometry, and measurement of serum markers of inflammation were used. Endoscopic sinus surgery was used in 14 patients (the group 1) and others were treated non-surgically (the group 2). Both group were treated during 6 months using intranasal mometasone, mucolytics and antibiotics via PARI SINUSTM nebulizer.

Results. An improvement in symptoms, CT signs, rhinomanometry parameters and endoscopic signs was seen in both groups after treatment and was more prominent in the surgical treatment group compared to the non-surgical treatment group. Bacterial load reduction in nasal sinuses, decrease in the rate of pulmonary disease exacerbations, and an improvement in oxygen blood saturation were found in the surgical treatment group only. Treatment of CRS did not affect lung function, sputum microbiology and serum inflammatory markers.

Conclusion. Endoscopic sinus surgery followed by intranasal mucolytics and antibacterials is an effective and well-tolerated treatment in adult CF patients with CRS.
La historia hacia el tercer milenio
Authors: Fontana i Lázaro Josep
Published: August 2019

Se presentan a la consideración del lector las ponencias del ciclo "la historia hacia el tercer milenio" en el que participaron los profesores d. Josep Fontana, d. Julio Valdeón, d. José Luis Gómez Urdáñez y d.ª Isabel Burdiel.
La historia hacia el Tercer Milenio
Authors: Gómez Urdáñez José Luis
Published: August 2019

Se presentan a la consideración del lector las ponencias del ciclo "la historia hacia el tercer milenio" en el que participaron los profesores d. Josep Fontana, d. Julio Valdeón, d. José Luis Gómez Urdáñez y d.ª Isabel Burdiel.
Utilisation of antimicrobial agents in intensive care unit at a tertiary care teaching hospital in eastern India
Authors: Panda Rajendra Kumar , Abhisek P. Ansuman , Sika Lalit Mohan , Pradhan Shweta Supriya , Routray Sidharth Srabana , Mohanty Srikanta
Published: August 2019

Background: Antimicrobial agents (AMAs) are the most frequently used drugs in the intensive care units (ICU) and regular auditing can prevent the development of resistance to AMAs, reduce the cost and incidence of adverse drug reactions. The present study was conducted to assess the drug utilisation pattern by measuring the defined daily dose (DDD) per 100 bed days for the AMAs used and their correlation with the APACHE score II.Methods: This was a prospective observational study, conducted in the Central ICU of SCB Medical College and Hospital, Cuttack, Odisha for 4 months. Data regarding demographic profile, diagnosis, APACHE II score, microbiologic investigation, length of stay, outcome and utilisation pattern of AMAs assessing anatomic therapeutic chemical (ATC) classification and measuring the antimicrobial consumption index (ACI) equal to DDD per 100 bed days were collected and subjected to descriptive analysis. Multinomial logistic regression model was used to predict probabilities of different possible outcomes of categorically distributed variables and independent variables.Results: Mean age of study population was 44.70±14.814 with male and female ratio of 1.63:1. Septicaemia was the most common cause of admission. AMAs were prescribed to 92.66% of patients during their stay which constitutes 37.32% of the total drugs used. The DDD per 100 bed days for the AMAs were 118.59 and ceftriaxone was found to be most frequently used. Patients having higher APACHE II score received more no of AMAs (4.20±1.30). Patients having low APACHE II Scores received less number of antibiotics as compared to patients having higher score.Conclusions: AMAs were prescribed to 92.66% patients in the central ICU and there is significant relation between the APACHE II score and number of AMAs prescribed.
Comparative feasibility of two World Health Organization partographs to predict prolonged labour: a randomized control trial
Authors: Rajoriya Mohini , Kalra Ruchi
Published: August 2019

Background: One of the major causes of maternal mortality is obstructed labor. Identification of abnormal labor at earliest and timely management can prevent prolonged labor and significantly reduce its sequel. Partograph is a useful tool in hands of labor care givers to monitor labor course. The study was done to compare feasibility of two WHO partographs a composite partograph including the latent phase with a simplified one without the latent phase to predict prolonged labor in randomized control trial.

Methods: A randomized controlled trial, with parallel arm design was conducted. Sample size was calculated as 404 pregnant women .They were randomly categorized in two groups, each group having 202 participants.

Results: labor had crossed the alert line in 108 (53.4%) cases monitored by composite partograph and 38(18.8%) cases monitored with simplified partograph. The calculated P value was <0.0001. The odds ratio calculate was 4.95 and 95% confidence interval was 3.16 to 7.76. Labor crossing the action line was found in 16 (7.9%) in composite partograph whereas in simplified partograph, labor had crossed the action line in 18 cases in simplified group. Calculated P value was 0.72 (>0.05). The odds ratio was 0.8793 and 95% confidence interval 0.43 to 1.77 which was not significant statistically .Most participants (70%) experienced difficulty with the composite partograph, but no participant reported difficulty while plotting the simplified partograph.

Conclusions: WHO simplified partograph was found to be as good as WHO composite partograph in identifying maternal and perinatal outcomes and was more user friendly.
Burden of Uterine Fibroids: An African Perspective, A Call for Action and Opportunity for Intervention
Authors: P Igboeli , W Walker , A McHugh , A Sultan , A Al-Hendy
Published: August 2019

Black women carry the burden of uterine fibroids, (AKA uterine leiomyomas), at a much higher rate than their racial counterparts. Thus, increasing awareness and discovering a solution to an endemic problem that plagues Sub-Saharan Africa is of critical importance, not only for the region itself, but also for the medical community globally. A collaborative, patient oriented, cost effective, and culturally sensitive approach must be at the forefront of this endeavor. While the exact pathogenesis of uterine fibroid development remains elusive, the racial disparity is well documented. Moreover, in the developed world, women are able to seek treatment through surgical and non-surgical means; however, sub-Saharan regions face their own challenges that, if not addressed, can ultimately extinguish the lives of many suffering women. Unfortunately, the literature is scarce on how to prevent fibroid development, which may be critical for women who do not have access to effective interventions. Recent research from our group and others has shown that vitamin D deficiency plays an important role in fibroid development and may be a preventable risk factor. Daily vitamin D supplementation is a low cost, effective intervention that could be implemented throughout the Sub-Saharan region. Similarly, education and increased awareness as to the nature and symptoms of uterine fibroids could improve the quality of life, remove negative social stigma, and reduce morbidity and mortality rates in women who seek medical care with advanced uterine fibroids.
Turismo e paisagem cultural: um estudo de caso de São Thomé das Letras em Minas Gerais, Brasil
Authors: Zamarco Fernanda Cristine , Lanzarini Ricardo
Published: August 2019

A paisagem é constituída por elementos históricos e culturais que indicam as intervenções e interações de grupos sociais ao longo do tempo. O turismo utiliza a paisagem como atração natural e cultural para o desenvolvimento de seu mercado e consequente conservação do lugar, agregando valor ao destino por seu diferencial natural e/ou histórico-cultural. Diante desse fato, analisou-se a paisagem cultural de São Thomé das Letras/MG por meio de um estudo de caso de caráter qualitativo e descritivo, utilizandose a observação participante com entrevistas semiestruturadas aplicadas a turistas, empresários e Poder Público municipal no ano de 2016. Os resultados demonstraram que essa paisagem possui diversos recursos turísticos que poderiam ser desenvolvidos como atrativos culturais para integrar um novo roteiro urbano, mas a falta de iniciativa privada e pública sobre a divulgação e utilização turística desses bens, bem como o foco nos roteiros de turismo de natureza, tem afetado diretamente o interesse dos visitantes em conhecer e apreciar a paisagem cultural local, constantemente negligenciada em sua história, representatividade cultural e conservação.
THAI SECONDARY TEACHER ATTITUDES TOWARDS THE INCLUSION OF STUDENTS WITH LEARNING DISABILITIES
Authors: Jamsai Pattaraporn
Published: August 2019

Purpose of Study: The purpose of this study was to examine Thai secondary teacher attitudes towards inclusion of students with learning disabilities in general education classrooms.

Methodology: The researcher collected quantitative data using a questionnaire with 28 Likert-type scale questions, adapted from the Opinions Relative to Integration of Students with Disabilities (ORI) as well as information related to training in special education, experience, and workload. The participants were comprised of a representative group of 370 secondary teachers from all regions of Thailand. Most participants indicated that they were female general education teachers and had a Bachelor’s degree.

Main Finding: Through multiple linear regression, the findings showed that Thai secondary teachers generally held a positive attitude towards the inclusion of students with learning disabilities into general education classrooms. All three independent variables (hours of training, years of teaching experience, and hours of workload) were significant predictors of teachers’ attitudes towards inclusive classrooms, though the hours of workload was the strongest predictor.

Applications: The study was conducted to better understand the variables that are meaningful to teachers’ attitudes toward inclusion.
Pendidikan Fithrah dalam Perspektif Hadist (Studi tentang Fithrah Anak Usia 7-12 Tahun)
Authors: Aisyah Siti
Published: August 2019

Atas dasar fihtrah, manusia dibekali berbagai potensi dasar untuk mengetahui segala sesuatu yang mungkin ada, bahkan manusia dapat mengetahui adanya causa prima yaitu Tuhan semesta Alam. Akan tetapi perlu diperhatikan bahwa fithrah manusia tersebut tidaklah akan berkembang dengan sendirinya, melainkan memerlukan bimbingan dan tuntunan atau arahan untuk pengembangannya. Bimbingan, tuntunan dan arahan itu mutlak diperlukan agar manusia dapat sampai kepada kebenaran yang hakiki, karena di sadari bahwa dengan akalnya manusia tidak akan sanggup mencapai hal itu secara utuh. Ini dikarenakan berada di luar jangkauan akal manusia,yang mana pengetahuan mengenai hal tersebut hanya dapat diperoleh melalui pengetahuan wahyu (agama). Untuk itulah Allah Swt mengutus para Rasul dalam rangka membimbing dan menuntun umat manusia kepada keselamatan dan kebahagiaan dengan membawa ajaran tauhid (al-Islam). Penelitian ini adalah penelitian literature dengan konten analisis. Subjeknya beberapa referensi, objeknya tentang fitrah dalam perspektif hadis. Artikel ini akan mencoba mengulas hadis-hadis yang berkaitan dengan fitrah, sehingga medapatkan beberapa pemikiran yang utuh.
Problem Kepemimpinan Pendidikan Madrasah Ibtidaiyah dalam Pengembangan Mutu Sumber Daya Manusia
Authors: Rahmawati Rahmawati
Published: August 2019

Penelitian ini mengkaji tentang problem kepemimpinan pendidikan MI dalam pengembangan mutu SDM Abad 21. Penelitian ini berusaha untuk merumuskan problematika kepemimpinan pendidikan  sekaligus merumuskan pemikiran solutif untuk mengatasi problematika tersebut. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan metode penelitian data menggunakan proses analisis observasi dan kajian dokumen. Setelah itu dilakukan reduksi data, penyajian data dan pengambilan kesimpulan atau verifikasi menggunakan triangulasi. Kepemimpinan yang baik harus dapat meningkatkan kreativitas serta  mendorong peningkatan kompetensi serta menganalisis kebijakan yang harus di perbaharui untuk  menghadapi era globalisasi pada abad 21. Problem pendidikan yang ada  yaitu: 1) Membangun pendidikan karakter bangsa, yang dimulai dengan bentuk pembiasaan, pemahaman, keteladanaan dan dapat teraplikasi secara terus menerus, 2) Pendidikan dasar untuk semua yang menjamin bahwa seluruh anak bangsa berhak mendapatkan pendidikan, 3) Desentralisasi dan Otonomi Pendidikan harus jelas pembagian urusan pendidikan antar tingkat pemerintahan dan terukur juga tertulis berbagai kebijakan atau program yang dibiayai oleh pemerintah, provinsi atau kabupaten.
PASSING AS A FORM OF ADAPTATION: THE ISLAMIC NUANCES OF THE CHRISTIANS AND CATHOLICS
Authors: Saputra Riza
Published: August 2019

This study aims to discuss the phenomenon of the Christians and Catholics that imitate Islamic expressions in Banarjoyo village. The cordial relationship among Muslims, the Christians and Catholics of Banarjoyo village provide new nuances on the concept of passing. Using field research and collecting data through participant observation and in-depth semi structured interview techniques, the study reaches the following results: Christians and Catholics adaptation with Muslims activities in Banarjoyo village undergirds on three aspects of social interaction, namely parallel, associative, and cooperative. The processes of Christians and Catholics’ interaction and participation within Muslims activities are the causes of the identification, and imitation of Islamic expressions. The main factor of the Christians and Catholics imitation of Islamic expression is because of their role identity and their feeling dissimilar that further make them try to assimilate with the dominant Islamic context. This assimilation and adjustment of Christians and Catholics behaviors as well as Muslims is what we called as “Passing as a form of adaptation.”
Morgagni-Steawart-Morel syndrome: Case report
Authors: DOĞAN Emrah , MOULİNE Marwa
Published: August 2019

Hyperostosis frontalis interna (HOFI) is characterized
by the benign growth of the inner plate of the frontal bone. It is most common
in older women. Etiology is unknown. Morgagni-Stewart-Morel syndrome(MSM) is
characterized by HOFI, obesity, hirsutism and mental illnesses but these
associations are mostly based only on case reports. MSM syndrome is misunderstood
and less reported pathology. The clinical presentation is not well defined andits
finding is usually coincidental. The patient may present variable
symptomatology. The idea that we should keep in mind is that HOFI representthe
main pattern of MSM. Thus, it is highly importantto specify the presence and
degree of HOFI in radiological reports.