bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinan Keterlambatan Perkembangan Balita Di Wilayah Puskesmas Alalak Tengah Kecamatan Banjarmasin Utara Tahun 2018
Authors: Hapisah Hapisah , Rusmilawaty Rusmilawaty , Rafidah Rafidah
Published: January 2021

Masa balita merupakan periode terpenting tumbuh kembang, Banyak faktor yang mempengaruhi gangguan keterlambatan perkembangan  dapat dideteksi dengan menggunakan Kuesioner Praskrining Perkembangan (KPSP). Hasil wawancara 6  ibu didapatkan 3  tidak diberikan ASI eksklusif, 1 dengan BGM. Dari 6 anak tersebut 2 anak memiliki perkembangan motorik kasar tidak sesuai usia yaitu 1 anak berusia 8 bulan tidak mampu merangkak dan tidak mampu berdiri dari posisi duduk atau posisi merangkak dan 1 anak lainnya berusia 9 bulan tidak mampu melangkah dengan berpegangan dan menyusuri meja.

Desain penelitian menggunakan rancangan matched case control study. Populasi  seluruh balita di wilayah Puskesmas Alalak Tengah Kecamatan Banjarmasin Utara  sebanyak 3.321 . Sampel kasus adalah bayi yang mengalami keterlambatan perkembangan sebanyak 36  dan kelompok kontrol yaitu bayi yang tidak mengalami keterlambatan  perkembangan sebanyak 36. Analisis bivariabel menggunakan chi square dan   analisis multivariable menggunakan Regresi Linear Berganda.

Hasil  sebanyak 36 kasus keterlambatan perkembangan balita terdiri dari meragukan 23 orang (31,9%) dan penyimpangan 13 orang (18,0%). Faktor risiko yang bermakna adalah status gizi (p=004) dengan nilai OR=4,8, stimulasi (p=003) dengan nilai OR=5,18 dan pendapatan orang tua (p=002) dengan nilai OR=3,5. Sedangkan berat badan lahir (ρ = 0,078), riwayat pemberian ASI (ρ = 0,227), pendidikan (ρ = 0,197), pekerjaan (ρ = 0,484), jenis kelamin (ρ = 0,401) dan jumah saudara (ρ = 0,148) tidak ada pengaruh pada keterlambatan perkembangan balita di Puskesmas Alalak Tengah Kecamatan Banjarmasin. Status gizi buruk memilki angka risiko 4,8 paling tinggi  di bandingkan dengan determinan lainnya yang mempengaruhi  keterlambatan perkembangan balita.

 Kata Kunci : Determinan Keterlambatan Perkembangan
Shining the Light on the MotionWatch8 Light Sensor for Sleep and Aging Research: What Can We Measure and What Are We Missing?
Authors: Falck Ryan S. , Crockett Rachel A. , Davis Jennifer C. , Khan Karim M. , Liu-Ambrose Teresa
Published: January 2021

Background:

Poor sleep is common among older adults at risk for dementia and may be due to circadian dysregulation. Light is the most important external stimulus to the circadian clock and bright light therapy (BLT) has been used for >20 years to help realign circadian rhythms. However, the ability of field methods (e.g., actigraphy) to accurately determine the type and intensity of light is unknown.

Objective:

We examined the ability of the MotionWatch8 (MW8) light sensor to determine: 1) light versus dark, 2) electrical light versus daylight, and 3) device-based BLT versus light which was not BLT.

Methods:

We tested the MW8 under 17 daily light scenarios. Light exposure data was collected for 5 minutes during each scenario. Concurrently, we measured light exposure using the LT40 Light Meter, a sensitive measure of light intensity. We then developed individual cut-points using receiver operator characteristics analyses to determine optimal MW8 cut-points for 1) light versus dark; 2) electrical light versus daylight; and 3) light from a BLT box versus light which was not BLT. Bland-Altman plots tested the precision of the MW8 compared to the LT40.

Results:

The MW8 accurately discriminated light versus dark (>32 lux), and electrical light versus daylight (<323 lux). However, the MW8 had poor accuracy for 1) discriminating BLT from light which was not BLT; and 2) low precision compared to the LT40.

Conclusion:

The MW8 appears to be able to discern light versus dark and electrical light versus daylight; however, there remains a need for accurate field methods capable of measuring light exposure.
Obesity and Brain Vulnerability in Normal and Abnormal Aging: A Multimodal MRI Study
Authors: Dake Manmohi D. , De Marco Matteo , Blackburn Daniel J. , Wilkinson Iain D. , Remes Anne , Liu Yawu , Pikkarainen Maria , Hallikainen Merja , Soininen Hilkka , Venneri Annalena
Published: January 2021

Background:

How the relationship between obesity and MRI-defined neural properties varies across distinct stages of cognitive impairment due to Alzheimer’s disease is unclear.

Objective:

We used multimodal neuroimaging to clarify this relationship.

Methods:

Scans were acquired from 47 patients clinically diagnosed with mild Alzheimer’s disease dementia, 68 patients with mild cognitive impairment, and 57 cognitively healthy individuals. Voxel-wise associations were run between maps of gray matter volume, white matter integrity, and cerebral blood flow, and global/visceral obesity.

Results:

Negative associations were found in cognitively healthy individuals between obesity and white matter integrity and cerebral blood flow of temporo-parietal regions. In mild cognitive impairment, negative associations emerged in frontal, temporal, and brainstem regions. In mild dementia, a positive association was found between obesity and gray matter volume around the right temporoparietal junction.

Conclusion:

Obesity might contribute toward neural tissue vulnerability in cognitively healthy individuals and mild cognitive impairment, while a healthy weight in mild Alzheimer’s disease dementia could help preserve brain structure in the presence of age and disease-related weight loss.
Improved location filtering using a context-aware approach
Authors: Lin Iuon-Chang , Cheng Chen-Yang , Lin Yen-Ting
Published: January 2021

With the pervasiveness of GPS-enabled devices, a considerable number of GPS traces are accumulating continuously and unobtrusively in online communities. However, almost all current applications directly use raw GPS data, such as coordinates and time stamps, without interpreting these data. Thus far, online communities cannot offer much support to users in terms of recommending geospatial locations. Furthermore, because the data sets involved are large, users cannot browse each GPS trajectory individually. Therefore, users’ GPS trajectories must be mined and then classified as positive or negative. When the number of ratings for a place exceeds a certain threshold, the place is considered suitable for the user. By contrast, when the ratings for a place are mostly negative, this place is considered unsuitable for the user. When a user searches for the best place, the recommender system determines the user’s location (latitude, longitude) and then sends the best-rated destinations and the shortest routes between the user’s location and the destination to the user’s mobile device. Experiments were conducted in this study to determine the requisite similarity for GPS data points, the user’s information, and the best route for the user.
Common but Differentiated Responsibilities and Respective Capabilities: Did This Principle Ever Exist?
Authors: Rosencranz Armin , Jamwal Kanika
Published: January 2021

This article argues that the UN Framework Convention on Climate Change (UNFCCC)’s conception of common but differentiated responsibilities and respective capabilities (CBDRRC) was never effectively implemented through the Kyoto Protocol. The investments under the Kyoto Protocol’s Clean Development Mechanism suggest that CBDRRC has been used by developed countries to buy a “right to pollute”, i.e., maintaining or even increasing their greenhouse gas emissions, while investing in clean energy in developing nations, thus defeating the essence of CBDRRC as intended under the UNFCCC. Second, it points out that the Paris Agreement reflects a significant shift in the overall concept of CBDRRC, both in terms of its textual understanding as well as its implementation. A qualifier, “in the light of national circumstances”, was added to the principle of CBDRRC in the Paris Agreement, allowing a form of voluntary self-differentiation. This qualifier diluted a top-down, objective analysis of States’ commitments. For several scholars, this shift has meant a softening of the principle, making the “differentiation” more dynamic and flexible. In the authors’ opinion, the qualifier is a fundamental modification of the principle to make it politically more palatable. It completely disregards the notion of historical responsibility for climate change, which was the cornerstone of CBDRRC as conceived under the UNFCCC. Therefore, rather than presenting a more flexible understanding of UNFCCC’s conception of CBDRRC, the Paris Agreement marks a total departure from it. Lacking an explicit redefinition of the principle of CBDRRC, it is misleading to contend that the Paris Agreement is still anchored in it.
Australia: Regulatory, Human Rights and Economic Challenges and Opportunities of Large-Scale Mining Projects: A Case Study of the Carmichael Coal Mine
Authors: Cassotta Sandra , Cueva Vladimir Pacheco , Raftopoulos Malayna
Published: January 2021

Using the Carmichael coal mine as a case study, this paper explores and analyses the current challenges and potentials of the Australian regulatory framework in designing policies that balance the direct local economic benefits with global environmental concerns and a global common vision about how to manage mining development and energy security challenges). In this effort, it evaluates the current Australian regulatory framework for mining projects, based on two hypotheses: 1) the development of large-scale mining energy projects linked to fossil-fuel resources creates legal challenges; 2) these legal challenges should be analysed in an interdisciplinary approach from both local and global perspectives on law, economics and socio-politics.
The effect of T helper (Th)/T cytotoxic (Tc) ratio on disease severity in type A hemophilia patients
Authors: Khazaei Hossein Ali , Naderi Majid , Aliabad Ghasem Miri , Tabatabaei Seyed Mohammad Nasiraldin , Alidadi Ali , Moulaei Nezar Ali , Safdari Mohammad , Nahvi Hedayatollah , Cohan Nader , Dehghan Javid , Mehraban Ahmad , Jalili Arman , Khazaei Amin , Khazaei Ehsan , Khazaei Bahman , Khazaei Behnam , Rezaei Nima , Salarzaie Morteza , Soleimani Gholamreza
Published: January 2021

BACKGROUND AND OBJECTIVES: The aim of this study was to investigate the T helper (Th) to T cytotoxic (Tc) ratio in children suffering from type A hemophilia disease and to evaluate the correlation of this ratio with disease severity. MATERIAL AND METHOD: Two mls of EDTA anti coagulated whole blood was collected. Immunophenotyping of lymphocytes count was carried out by FACS analysis using a double CD4 and CD8 kit. The mean ± SD of absolute numbers of CD4 and CD8 lymphocytes/ml was calculated and the ratio of CD4/CD8 was evaluated by statistical method. RESULTS: Among 80 type A hemophilia patients, 66 (82.5%) were male. The mean age was 15 ± 3.51 years. 12 (15%) of them were suffering from mild disease and 68 (85%) had sever disease. The CD4 /CD8 ratio was obtained between 0.45 and 1.44 with mean1.79 ± 0.78. The correlation between this ration and disease severity was 0.019. CONCLUSION: The results showed that CD4/CD8 ratio has correlation with disease severity in type A hemophilia patients, however there was no association between this ratio and gender.
Text classification by untrained sentence embeddings
Authors: Di Sarli Daniele , Gallicchio Claudio , Micheli Alessio
Published: January 2021

Recurrent Neural Networks (RNNs) represent a natural paradigm for modeling sequential data like text written in natural language. In fact, RNNs and their variations have long been the architecture of choice in many applications, however in practice they require the use of labored architectures (such as gating mechanisms) and computationally heavy training processes. In this paper we address the question of whether it is possible to generate sentence embeddings via completely untrained recurrent dynamics, on top of which to apply a simple learning algorithm for text classification. This would allow to obtain extremely efficient models in terms of training time. Our work investigates the extent to which this approach can be used, by analyzing the results on different tasks. Finally, we show that, within certain limits, it is possible to build extremely efficient models for text classification that remain competitive in accuracy with reference models in the state-of-the-art.
Study on intelligent anti–electricity stealing early-warning technology based on convolutional neural networks
Authors: Pan Nan , Shen Xin , Guo Xiaojue , Cao Min , Pan Dilin
Published: January 2021

In recent years, electricity stealing has been repeatedly prohibited, and as the methods of stealing electricity have become more intelligent and concealed, it is growing increasingly difficult to extract high-dimensional data features of power consumption. In order to solve this problem, a correlation model of power-consumption data based on convolutional neural networks (CNN) is established. First, the original user signal is preprocessed to remove the noise. The user signal with a fixed signal length is then intercepted and the parallel class labelled. The segmented user signals and corresponding labels are input into the convolutional neural network for training, and the trained convolutional neural network is then used to detect and classify the test user signals. Finally, the actual steal leak dataset is used to verify the effectiveness of this algorithm, which proves that the algorithm can effectively carry out anti–-electricity stealing by warning of abnormal power consumption behavior. There are lots of line traces on the surface of the broken ends which left in the cable cutting case crime scene along the high-speed railway in China. The line traces usually present nonlinear morphological features and has strong randomness. It is not very effective when using existing image-processing and three-dimensional scanning methods to do the trace comparison, therefore, a fast algorithm based on wavelet domain feature aiming at the nonlinear line traces is put forward to make fast trace analysis and infer the criminal tools. The proposed algorithm first applies wavelet decomposition to the 1-D signals which picked up by single point laser displacement sensor to partially reduce noises. After that, the dynamic time warping is employed to do trace feature similarity matching. Finally, using linear regression machine learning algorithm based on gradient descent method to do constant iteration. The experiment results of cutting line traces sample data comparison demonstrate the accuracy and reliability of the proposed algorithm.
Face recognition in an intelligent door lock with ResNet model based on deep learning
Authors: Phawinee Suphawimon , Cai Jing-Fang , Guo Zhe-Yu , Zheng Hao-Ze , Chen Guan-Chen
Published: January 2021

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.
Research on the intelligent construction of prefabricated building and personnel training based on BIM5D
Authors: Wen Yafeng
Published: January 2021

With the promotion of BIM Technology, prefabricated building is developed rapidly in China. However, BIM technology has been only partially applied to prefabricated building, and there is still a gap between prefabricated building and intelligent construction. This paper focus on BIM 5D, together with relevant information technologies, all of which will be highly integrated and applied to prefabricated building, with the mission to get related information and enable the rapid flow of information, as well as bringing human perception, memory, knowledge and wisdom into prefabricated building, driving the development of prefabricated buildings to intelligence and leanness. Intelligent construction is an innovated construction model based on the combination of latest information technology and engineering construction. Thus, it is particularly important to train personnel with corresponding knowledge structure, knowledge system and professional ability for intelligent construction. This paper also discusses about how to train personnel on prefabricated building and intelligent construction.
Fuzzy rules based efficient event-driven simulation of blockchain-based applications
Authors: Zhou Wei
Published: January 2021

Decentralized application (DAPP), replacing traditional business logic and data access layer with block chain, is a new form of Internet service. Testing DAPP requires large-scale distributed systems. Performing experiments in a real system is costly and difficult. This article carefully analyses the process of block generation and synchronization and explains the reasons for the low efficiency of block chain system simulation. We incorporate fuzzy rule based model for enhancing the logging system in blockchain. Rules based on fuzzy are utilized inside system of fuzzy logic to obtain outcome on basis of input variables. The data of Ethereum and Bitcoin proves that the block generation interval conforms to the exponential distribution, and the real PoW calculation can be replaced with random numbers. Both block verification and network propagation processes have latency, which can be simulated with asynchronous messaging. Based on the above analysis, this article proposes a high-performance simulation method based on event-driven model, which is suitable for describing the communication and synchronization behave our of block chain networks. The method can effectively describe the block generation, the synchronization process between nodes, and supports different equity proof forms. Using this method, the performance of the PoW systemis tested. Under the ecs.c6.xlargeinstance,the simulation running speed reaches 782 times of actual system. Further experiments show that this method can be efficiently used in larger-scale networks and is an effective tool for DAPP developing and testing.
Research on grey situation decision in the context of system analysis of village planning projects using fuzzy TOPSIS
Authors: Zhou Zaohong , Zou Yongwen
Published: January 2021

Problems involving decision-making and management of engineering projects call for attention from different quarters and the issue of decision-making for projects under the state planning in particular should be the major concern of project management. This study takes a traditional village protection project —- the preservation of Zaoshi Village, Xingan County, Jiangxi Province, China—- as a case in point. Treating the decision-making process as a system, the study employs ISM model to examine the system-level relationship between engineering projects. Artificial Intelligence is utilized for analyzing the planning of project structure and Fuzzy TOPSIS model is useful in estimating the weights of the scenario and find the ranking of structure finally. Then, using the analytical data thus derived, the research focuses on identifying the optimum option for decision-making. By this process, the study intends to gain and share some insight into the issue and establish precedents for similar engineering projects.
Sample weights determination based on cosine similarity method as an extension to infrared action recognition
Authors: Hei Hongzhong , Jian Xianzhong , Xiao Erliang
Published: January 2021

The widespread application of infrared human action recognition in intelligent surveillance has attracted significant attention. However, the infrared action recognition dataset is limited, which limits the development of infrared action recognition. Existing methods for infrared action recognition are based on features in the same sample, without paying attention to within-class differences. Motivated by the idea of weighting video information, this paper proposes a novel infrared action recognition framework to reweight the samples of training sets named REWS to solve the problems of limited infrared action data and the large within-class differences in the infrared action recognition dataset. In the proposed framework, we first map infrared action video data to a low-dimensional feature space, and use the cosine similarity between the feature data of the training set and the testing set to determine the weight of the training set samples. Each training set sample has an independent weight. Then, a support vector machine (SVM) is trained by the training sets with weights to recognize the infrared actions. Experimental results demonstrate that our approach can achieve state-of-the-art performance compared with hand-crafted features based methods on the benchmark InfAR dataset.
A hybrid algorithm for electric vehicle routing problem with nonlinear charging
Authors: Deng Jiawen , Li Junqing , Li Chengyou , Han Yuyan , Liu Qingsong , Niu Ben , Liu Lili , Zhang Biao
Published: January 2021

This paper investigates the electric vehicle routing problem with time windows and nonlinear charging constraints (EVRPTW-NL), which is more practical due to battery degradation. A hybrid algorithm combining an improved differential evolution and several heuristic (IDE) is proposed to solve this problem, where the weighted sum of the total trip time and customer satisfaction value is minimized. In the proposed algorithm, a special encoding method is presented that considers charging stations features. Then, a battery charging adjustment (BCA) strategy is integrated to decrease the charging time. Furthermore, a novel negative repair strategy is embedded to make the solution feasible. Finally, several instances are generated to examine the effectiveness of the IDE algorithm. The high performance of the IDE algorithm is shown in comparison with two efficient algorithms.
Efficacy of Carragelose® Nasal Spray Impregnated Versus Mupirocin Ointment Impregnated Nasal Packs on Mucosal Healing after Endoscopic Sinus Surgery: A Double-Blind, Non-Randomized, Right-Left Side Comparison
Authors: Lo Joseph Bernard , Cruz Emmanuel Tadeus
Published: January 2021

ABSTRACTObjective: To determine the efficacy of carragelose® nasal spray versus mupirocin ointment impregnated nasal packs on postoperative mucosal healing among chronic rhinosinusitis with nasal polyposis (CRSwNP) patients after endoscopic sinus surgery (ESS).

Methods:Design: Double-Blind, Non-Randomized, Right-Left Side ComparisonSetting: Tertiary Government Training HospitalParticipants: Fifteen (15) patients diagnosed with chronic rhinosinusitis with nasal polyposis (CRSwNP) who had ESS were included in the study. Nasal packs (Netcell®) impregnated with carragelose® nasal spray or mupirocin ointment were respectively applied in right and left nostrils. Postoperative mucosal healing was graded by a blinded consultant using the Lund-Kennedy Endoscopic Scoring System and Perioperative Sinus Endoscopy (POSE) scoring system.

Results: Six patients (12 nasal sides) completed the study. Comparing nasal packs impregnated with carragelose® nasal spray mupirocin ointment, the carragelose® group had lower Lund- Kennedy median scores than the mupirocin group on the 7th post-operative day; and this was statistically significant (p = .027). There were no significant differences in Lund-Kennedy postoperative scores on days 4 (p = .217), 14 (p = .171) and 28 (p = .151).

Conclusion: Carragelose®  nasal spray impregnated nasal packs may be comparable with, and may be an alternative to mupirocin ointment impregnated nasal packs in terms of postoperative mucosal healing among ESS patients with CRSwNP.
Endoscopic Management of a Large Tornwaldt Cyst: A Case Report
Authors: Espinosa Wenrol , David Michael Joseph
Published: January 2021

ABSTRACT

Objective: To report successful marsupialization of a large Tornwaldt cyst using combined transnasal and transoral endoscopic surgery in a 7-year-old girl who presented with nasal obstruction.

Methods:Design: Case ReportSetting: Tertiary Government Training HospitalPatient: One

Result: A 7-year-old girl presented with an 11-month history of recurrent yellowish nasal discharge gradually associated with nasal obstruction. Examination revealed a large, well encapsulated, broad-based cystic mass in the nasopharynx immediately adjacent to the posterior choanae, continuing posterior to the soft palate (pushing the uvula anteriorly) and extending inferiorly to the epiglottic area. Computerized Tomography (CT) demonstrated a well-circumscribed, midline hypodense mass with fluid attenuation obstructing the nasopharyngeal area extending inferiorly to the oropharyngeal area. Endoscopic marsupialization via transnasal and transoral approach was successful, and a respiratory epithelium-lined cyst consistent with a Tornwaldt cyst was confirmed by  histopathologic examination

Conclusion: Combined transnasal and transoral endoscopic marsupialization is possible a for a large symptomatic Tornwaldt cyst in a pediatric patient with relatively smaller and complex nasal cavities.
Blindness from Fungal Rhinosinusitis of the Paranasal Sinuses: A Case Report
Authors: De Jesus Daniel Rico , Estolano Patrick Joseph
Published: January 2021

ABSTRACT

Objective: To present a unique case of blindness resulting from fungal rhinosinusitis involving multiple sinuses mimicking a malignant process in a pregnant patient.

Methods:Design: Case ReportSetting: Tertiary Government Training HospitalPatient: One

Result: A 36-year-old pregnant woman developed unilateral blindness during her 20th week of gestation with a history of  binocular diplopia, unilateral nasal obstruction and anosmia for 13 months during the pre-pregnancy period. Sphenoid sinus malignancy was suspected on imaging. The planned biopsy was intraoperatively shifted to endoscopic sinus surgery when clay-like materials were seen involving the left maxillary sinus and bilateral sphenoid and ethmoid sinuses. Histopathologic examination confirmed fungal growth. Postoperatively, nasal symptoms resolved but blindness of the left eye and blurring of vision of the right eye persisted.

Conclusion: Fungal rhinosinusitis rarely occurs in multiple sinuses and is commonly misdiagnosed. It can afflict pregnant patients and mimic a malignant process. A high index of suspicion early on, especially in the presence of nasal congestion and diplopia may prevent potentially irreversible complications.
Política fiscal subnacional y ciclos económicos en Colombia
Authors: Ricciulli-Marín Diana , Bonet-Morón Jaime , Pérez-Valbuena Gerson Javier
Published: January 2021

Este documento estudia la relación de la política fiscal subnacional con los ciclos económicos en Colombia. Para ello, se estima un modelo dinámico de datos panel para municipios y departamentos durante el periodo 1990-2018. Los resultados señalan que, en promedio, la política fiscal subnacional en Colombia fue pro-cíclica en este periodo. No obstante, se encuentra una tendencia hacia menor pro-ciclicidad luego de las principales reformas al sistema de transferencias y la introducción de normas sobre responsabilidad fiscal subnacional. Las primeras buscaron un diseño menos pro-cíclico de las transferencias, mientras que las segundas fomentaron la disciplina y sosteniblidad de las finanzas locales. Por otra parte, se identifica un aumento reciente en la pro-ciclicidad de los gastos de inversión en los municipios de menor desarrollo y departamentos, lo cual coincide con el aumento en la participación de regalías en este grupo de entidades territoriales.
Workplace Innovation: Concepts, Regulation and Increasing Role of Knowledge Management : Theoretical Considerations and European Experiences
Authors: Makó Csaba , Illéssy Miklós , Számadó Róza , Szakos Judit
Published: January 2021

The paper addresses the challenges of a better scientific understanding of the complexity of innovation processes. In this relation the authors are stressing the need to adopt the so-called “holistic” innovation strategy integrated into the national innovation governance system in the innovation “front-runner” countries (i.e. Sweden, Finland, Denmark, etc.). The paper has two main parts. The first part presents the theoretical and methodological foundations of the innovation approaches and examines the following issues: macro- and micro (organisational) importance of innovations, innovation challenges in the public sector, comparison of variables measuring public and private sector innovations, notion and dimension of workplace innovations, hard and soft regulations of innovation, types and fast erosion of knowledge, underlining the growing role of knowledge management. The second part of the paper examines the empirical experiences of workplace innovation in the EU-27 countries, using certain waves (2005 and 2010) of European Working Conditions Survey (EWCS) organised by the Eurofund (Dublin). Distinguishing four major types of work organisations (i.e. "discretionary learning organisation”, “lean organisation”, “Taylorean organisation” and “traditional/simple organisation”) important cross-country differences were mapped. Comparing the period before and after the “Grand” financial crisis (2008–2009) the share of “discretionary learning organisation” declined, reflecting the strengthening trend of the short-term cost efficiency seeking strategy of the European companies, while other strategies based on knowledge-efficiency seeking have been overshadowed. Finally, the authors outline the need – in both public and private sector – for a knowledge management based on the Employee Driven Innovation (EDI) scheme in order to create high performance working systems (HPWS).
ФОРМИ ЗДІЙСНЕННЯ КОНЦЕНТРАЦІЇ ВИРОБНИЦТВА НА ПІДПРИЄМСТВАХ
Authors: Кравець Катерина
Published: January 2021

Стаття присвячена висвітленню актуальності концентраційних процесів на сьогоднішній день. Проаналізовано сучасні підходи до визначення поняття «концентрація виробництва». Визначено основні форми здійснення концентрації виробництва та охарактеризовано класифікаційні ознаки концентрації виробництва, які, на відміну від традиційних, об’єднують такі таксономічні групи, як види (абсолютна та відносна), рівні (мікро-, макро- та міжнародний), напрями (внутрішній та зовнішній) та форми здійснення (внутрішня інтеграція, інтеграція, співробітництво), що дозволяє поглибити теоретичний базис досліджуваних процесів. Окреслено диференціацію рівнів здійснення концентрації виробництва (мікрорівень, макрорівень та міжнародний рівень). Визначено форми здійснення інтеграційних процесів через процеси злиття та поглинання. Визначено особливості та відмінності концентраційних форм через злиття та поглинання.
ЕКОЛОГІЗАЦІЯ ПОДАТКОВОЇ ПОЛІТИКИ ЯК ВАЖЛИВИЙ НАПРЯМ РОЗВИТКУ КРАЇНИ
Authors: Мартинюк Ірина
Published: January 2021

У статті розглянуто екологізацію податкової політики України як важливий напрям розвитку економіки. Проведено комплексний аналіз загального негативного навантаження забруднюючими речовинами та відходами на навколишнє природне середовище в Україні. Запропоновано методику розрахунку екологічної ефективності податкової політики. Визначено умови досягнення екологічної ефективності податкової політики. Проведено аналіз показників екологічної ефективності податкової політики України за 2010-2019 рр. Здійснено оцінювання екологічної ефективності податкової політики України за заданими нами умовами за період 2010 – 2019 рр. Виявлено недоліки, які потребують невідкладного вирішення з метою підвищення екологічної ефективності податкової політики. Запропоновано кроки щодо подальшої екологізації податкової політики України.
PENGARUH METODE PEMBELAJARAN DAN MINAT BELAJAR PESERTA DIDIK TERHADAP HASIL BELAJAR MATA PELAJARAN POLMAS DI SEKOLAH POLISI NEGARA POLDA METRO JAYA
Authors: Ahmadi Nur , Arief Zaenal A , Wibowo Sigit
Published: January 2021

Penyelenggaraan pendidikan di SPN Polda Metro Jaya dilakukan melalui proses pembelajaran,  yang dalam pelaksanaannya tidak selalu berjalan dengan baik,  karena sering terdapat hambatan.  Tingkat keberhasilan serdik Diktuk Bintara Polri dalam mempelajari materi pelajaran dinyatakan dengan hasil belajarnya.   Hasil belajar dimaksudkan sebagai tingkat keberhasilan belajar yang dinyatakan dalam bentuk skor,  setelah seseorang melakukan proses belajar.   Hasil yang dicapai serdik memberikan gambaran tentang posisi tingkat keberhasilan dirinya dibandingkan dengan serdik yang lain. Untuk mengetahui bahwa seseorang telah mengalami proses belajar dan telah mengalami perubahan-perubahan baik perubahan dalam memiliki pengetahuan, sikap danketerampilan, maka dapat dilihat dari hasil belajarnya. Metode dalam penelitian ini menggungkan metode eksperimen adapun variable dalam penelitian ini terdiri (1) Variable bebas Metode  pembelajaran (2) Variable terikat hasil belajar dan ( 3) Varible control Minat Belajar . Desain yang digunakan dalam penelitian ini adalah desain faktorial 2 x 2.  Berdasarkan pengelompokkan tersebut diperoleh 24 subyek penelitian, masing-masing 24 subyek kelas eksperimen dan 24 subyek kelas kontrol, dan sekaligus kelas eksperimen diajar dengan Metode Tutorial dan kelas kontrol diajar dengan Metode  Bermain Peran.Adapun data yang diperoleh berdasarkan hasil penelitian antara lain 1). terdapat perbedaan hasil belajar mata pelajaran polmas bagi kelompok siswa yang belajar dengan menggunakan metode tutorial dan bermain peran, 2). terdapat pengaruh interaksi antara metode pembelajaran  dengan  minat  belajar terhadap hasil belajar mata pelajaran polmas, 3). terdapat perbedaan hasil belajar mata pelajaran polmas bagi kelompok siswa yang belajar dengan menggunakan metode tutorial dan bermain peran bagi siswa yang memiliki minat tingggi 4). Terdapat perbedaan hasil belajar mata pelajaran polmas bagi kelompok siswa yang belajar dengan menggunakan metode tutorial dan bermain peran bagi siswa yang memiliki minat rendah.
Professional Development of College Members in Sudanese Universities (University of Bahri as a Model)
Authors: Mohammed Jaber Abubaker Osman
Published: January 2021

This study aims to shed light on the professional development of the teaching staff members in the Sudanese universities, and the experience of the University of Bahri as a model which is renewable and in line with the spirit and requirements of the modern age as well as the quality of its teaching staff. The Researcher applied the analytical descriptive method and defined the study tool in accordance with the objectives, questions, and methodology of the study, where the researcher chose the closed open questionnaire to collect information from the teaching staff members in the University of Bahri who studied the professional diploma amounting to (60). The diploma was provided by the College of Education in the framework of the professional development of the university’s teaching staff members. The most important findings of the study were that: most of the students after the completion of the professional diploma study are able to practice teaching skills with high professionalism, integrate technology in higher education, apply the scientific principles in designing and developing University curricula, use of modern teaching strategies in teaching undergraduate courses. In the light of these findings, the researcher presented important recommendations and complementary to this aspect, such as the follow-up of the teaching staff performance of those who had completed the professional diploma after returning to their colleges and the impact of that on student academic achievement.
Extracorporeal light chains removal – What role does this play in 2020?
Authors:   Hospital Amato Lusitano, Unidade Local de Saúde de Castelo Branco, EPE, Castelo Branco, Castelo Branco, Portugal, Coelho Inês , Ferreira Hugo ,   Instituto Português de Oncologia do Porto Francisco Gentil EPE, Porto, Porto, Portugal, Chuva Teresa ,   Instituto Português de Oncologia do Porto Francisco Gentil EPE, Porto, Porto, Portugal, Paiva Ana ,   Instituto Português de Oncologia do Porto Francisco Gentil EPE, Porto, Porto, Portugal, Maximino José ,   Instituto Português de Oncologia do Porto Francisco Gentil EPE, Porto, Porto, Portugal
Published: January 2021

Multiple Myeloma (MM) is characterized by a neoplastic proliferation of plasma cell clones producing monoclonal immunoglobulin. Manifestations of the disease are heterogenous and include dialysis­‑requiring acute kidney injury (AKI) caused mainly by cast nephropathy (CN). It is known that early and rapid decrease in serum free light chains (sFLC) levels is particularly important for renal recovery, which has led to a renewed interest in extracorporeal methods of removal of sFLC. In this review we will discuss the management of light chain CN focusing on extracorporeal light chains removal modalities and their indication.
From light chain deposition to multiple myeloma – Case report and literature review
Authors:   Nephrology Department – Centro Hospitalar e Universitário do Algarve – Faro, Portugal, Domingos Ana , Vidinha Joana ,   Nephrology Department – Centro Hospitalar e Universitário do Algarve – Faro, Portugal, Guedes Anabela ,   Nephrology Department – Centro Hospitalar e Universitário do Algarve – Faro, Portugal, Macedo Ana ,   Hematology Department – Centro Hospitalar e Universitário do Algarve – Faro, Portugal,   University of Beira Interior – Faculty of Health Sciences – Covilhã, Portugal, Góis Mário ,   Laboratory of Renal Morphology, Hospital de Curry Cabral, Centro Hospitalar e Universitário de Lisboa Central – Lisboa, Portugal, Neves Pedro ,   Nephrology Department – Centro Hospitalar e Universitário do Algarve – Faro, Portugal,   University of Algarve – Department of Biomedical Sciences and Medicine – Faro, Portugal
Published: January 2021

Monoclonal gammopathies consist of a broad spectrum of diseases, ranging from asymptomatic monoclonal gammopathy of undetermined significance to multiple myeloma (MM). Multiple myeloma is a malignant plasma cell disorder and accounts for 10% of all hematological malignancies and 1% of all malignancies. Differential diagnosis may be challenging, considering the variety of clinical entities with similar behavior. About 15­‑20% of MM only secretes monoclonal light chains, called light chain MM, which is associated with poorer outcome. Two intermediate concepts were recently introduced, monoclonal gammopathy of renal significance (MGRS) and a wider concept of monoclonal gammopathy of clinical significance (MGCS). The former behaves as a clonal proliferative disorder with associated nephrotoxicity, but does not have the hematological criteria for MM, while MGCS expands this concept to other organs. A subtype of MGCS is monoclonal immunoglobulin deposition disease, a multisystemic disorder characterized by light or heavy chain deposition of monoclonal immunoglobulin in various organs and encompasses three clinical entities: Light­‑Chain, Light­‑ and Heavy­‑Chain, and Heavy­‑Chain Deposition Disease (LCDD, LHCDD and HCDD, respectively). We describe an unusual case of LCDD in which MM was subsequently considered although the proposed criteria are not met. We demonstrate the variability of clinical­‑pathological presentation of LCDD, requiring a rapid decision­‑making, particularly in terms of kidney and survival outcomes.
Clinical perspectives to improve pregnancy outcome in women undergoing chronic hemodialysis
Authors:   Renal Unit of Gaffrèe and Guinle University Hospital-Department of Medicine, Federal University of Rio de Janeiro State, Rio de Janeiro, Brazil, Marques Luiz , Rocco Regina ,   Renal Unit of Gaffrèe and Guinle University Hospital-Department of Medicine, Federal University of Rio de Janeiro State, Rio de Janeiro, Brazil, Marinho Paulo ,   Renal Unit of Gaffrèe and Guinle University Hospital-Department of Medicine, Federal University of Rio de Janeiro State, Rio de Janeiro, Brazil, Madeira Eugênio ,   Renal Unit of Gaffrèe and Guinle University Hospital-Department of Medicine, Federal University of Rio de Janeiro State, Rio de Janeiro, Brazil, Vieira Lygia ,   Renal Unit of Gaffrèe and Guinle University Hospital-Department of Medicine, Federal University of Rio de Janeiro State, Rio de Janeiro, Brazil
Published: January 2021

Severe Chronic Kidney Disease is considered a powerful method of contraception per se, and pregnancy among women undergoing chronic hemodialysis is a rare event. Women on dialysis usually have amenorrhea or irregular menstrual cycles and sexual dysfunction. They are often unaware of their pregnancy, which delays the diagnosis and the beginning of adequate obstetric-nephrological care, increasing the risk of maternal and fetal complications including pre-eclampsia, fetal growth restriction, preterm delivery, and perinatal death. However, pregnancy among women on dialysis is increasing exponentially around the world. The authors present the two last pregnancies of patients on dialysis followed in their hospital, review clinical procedures, and the improvements of medical care during gestation used to contribute to a successful gestation outcome. Pregnancy is possible in women on chronic hemodialysis.
Students’ Readiness and Problems to Face Online Learning in Pandemic Era
Authors: Meladina Meladina , Zaswita Hermi
Published: January 2021

The pandemic era has changed many aspects of the community lifestyle. It also includes the English teaching and learning process. Many teachers and students have to do teaching and learning online. They find some difficulties problems during that process. This research aimed to find out the Students' Readiness and problems to face online learning in Pandemic Era. It was qualitative research which was conducted at Fort De Kock University from July to October 2020. The population was all of the students who learn English at Fort De Kock University. Using a purposive sampling technique, the nursing and physiotherapy students in the third and fifth semesters were chosen as the samples. The data were taken from the questioner and in-depth interviews. Then, they were analyzed by computerization and transcription. This research found that most of the students had difficulties joining online learning such as signal, internet budget, lack of understanding and focus, and the interactions. By analyzing the results of this research, it can be concluded that the students are not ready to face online learning. It is suggested to the stakeholder to be more creative and innovative to face those problems.
Error Analysis on Grammatical Aspects in The Students Writing Essay (Case Study At The Fourth Semester Students Of English Education Programme Of STKIP Taman Siswa Bima.
Authors: Sholihin Sholihin , Haris Abd
Published: January 2021

The purpose of this study was to describe what kinds of error do the students in their writing essay and to describe the reasons why the students make the error in their writing essay at the four semester students of English education Programe of STKIP Taman Siswa Bima. This study applied case study method. The method unsuited to the error analysis procedures (following Chen, 2006:6) informed the processes to analyze the data consisted four steps were Data collection , Identification of errors, Classification of errors into error types, A statement of error frequency, Find out the case of error. The result of this research was concluded that the grammatical errors made by the fourth semester students of STKIP Taman Siswa Bima in writing essay are in Punctuation and Spelling for the highest errors 50.1%, the second is errors in Sentence Pattern 16%, followed by Auxiliaries  6,1%, Preposition 5.26%, Passive voice 4.48%, Verb Tense and Form 4.2%,  Subject-verb agreement 4.0%, Articles 4%, Plurality 3.8%, Word order 2.3% and Pronoun 1,1% of 521 errors obtained from their essays. The cause of error based on interview was succession approximation system.
Investigating the Ability of the English Literature Department Students in English Poetry Reading Skill
Authors: Hudriati Andi , Sain Najihuddin
Published: January 2021

The objectives of this study are: (1) To know students’ ability in reading English Poetry. (2) To know the difficulties that the student find in reading English Poetry. The data was analyzed by using a quantitative descriptive method. The study data was collected by using some research instruments, such as reading test and interview. The data were tabulated into students’ average scores in five indicators and mean scores. Then, the authors explained the data descriptively.  Based on the data findings, the students’ ability to read English Poetry was qualified as “poor”. This was indicated by the score in each part of the students were low, especially in facial expression and body language. Through this study, the authors aimed to help the student to learn how to read English Poetry, and the students hoped to increase their ability to read English Poetry.
A felsőoktatás digitális oktatási kultúrájának korrajza szakértői interjúk alapján
Authors: Hülber László , Papp-Danka Adrienn , Dringó-Horváth Ida
Published: January 2021

Az IKT eszközök a paradigmaváltás ígéretét sugallják a nevelés területén is, de komplex kihívást teremtenek azáltal, hogy nemcsak az oktatás folyamatát támogatják, hanem annak tárgyává is váltak. A technológia oktatásba való integrációja nem az elvárt eredményességgel valósul meg, kényszerítő hatású érvényesülése sokszor rossz módszertani gyakorlatot eredményez. Kutatásunkban az ország 24 elismert oktatásinformatikai, felsőoktatáspedagógiai szakértőjével készítettünk interjút azzal a céllal, hogy a felsőoktatás digitális oktatási kultúrájának jelenlegi helyzetét bemutassuk, egyfajta korlenyomatot biztosítva. Az interjúkérdések a módszertan, az önfejlesztés és a digitális oktatási kultúra értékelése tématerületek köré szerveződtek. A kapott válaszokat kvalitatív módszerrel dolgoztuk fel és a leírt szövegeket a tartalomelemzés szabályai szerint kódoltuk. Az eredmények bemutatása során a szakértői véleményeket szintetizáltuk, mert így kívánjuk segíteni a felsőoktatásban dolgozók módszertani kultúrájának formálását, tévképzeteik eloszlatását a pandémia által bevezetett kötelező digitális oktatás kihívásokkal teli időszakában.While ICT tools are promising a paradigm shift in education, they are  also presenting a complex challenge by being not only an aid to the  process of education but also the subject of it. The integration of  technology into education has not been bringing the expected success,  and when implemented by force, they often result in poor methodological  practice. In our study, we interviewed 24 renowned experts in  educational informatics and higher education pedagogy in Hungary in  order to acquire and present a picture of the current state of digital  educational culture in higher education. The interview questions are  centered around the topics of methodology, self-improvement, and the  evaluation of digital educational culture. Responses were processed  qualitatively and transcripts were coded according to the standard rules  of content analysis. In the discussion of the results, answers were  synthesized, because our aim is to shape the methodological culture of  teachers in higher education and to dispel their misconceptions in this  challenging period of compulsory digital education forced upon them by  the pandemic.