bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship verification between CO2 and pollutant emissions: policy evaluation based on the pollutant discharge fee in China
Authors: Ji Siping , Chen Haiyun , Chuan Yongming , Gao Libin , Liu Chenhui , Liu Hongqin , Lv Wendai
Published: December 2019

Serious environmental problems are exacerbated with economic growth. Pollution control and emission reduction are now challenged, and we have to pay real attention. Pollutant discharge fee (PDF), one of the enforced levy regulations on pollutant discharge in China, was introduced in a new perspective as a direct economic representation of multi-pollutant emission. The DPSIR framework and regression model were constructed to analyze the co-control process of pollutant emission based on the provincial data from 2000 to 2012. The results showed that PDF had a significant and positive relationship with CO2 emission in China during 2000–2012. A special contradiction was found that CO2 emission and PDF increased greatly, verified with empirical analysis, while the pollutant emission reduction target in the 11th and 12th Five-Year Plan (FYP) was achieved for the corresponding periods, which indicated that emission co-control is still unrealized in China. Conversely, the single indicator control of pollutant emission generated by opportunistic behavior of the Chinese government failed to bring real environmental improvement. In addition, PDF can be seen as a mirror for the Environment Tax (ET) to achieve authentic emission reduction and pollution control, even for sustainable development in China.
Hydrological classification and performance of Himalayan springs in climate change scenario – a case study
Authors: Rathi Vinay Kumar , Ram Shobha , Kumar Rohitashw , Agarwal Avinash , Nema R. K.
Published: December 2019

The present study was conducted to evaluate 33 springs' hydrology (discharge and yield estimation) of Chandrabhaga and Danda watersheds of Uttarakhand, India. The springs were classified using Meinzer method and evaluated the relative performance for rejuvenation strategy. It was found that most of springs fall in sixth and seventh class order with flow rate 6.5 to 65.5 and 0.8 to 6.5 m3·day−1, respectively. The relative performance of springs were analyzed based on four methods: (i) spring flow variability, (ii) normalized spring flow (short and long duration), (iii) rainfall spring flow lag and (iv) spring flow gradient. The relative results of springs were analyzed on a scale of 0–5. The Chandrabhaga springs 01, 03, 4B, 05, 06 and 13 were found to be relatively good on a scale value of 4 out of 5 as compared to springs 4A, 07, and 10A with a scale value of 1. For the Danda watershed, the relative performance of springs 4A and 28 found on scale value of 5 and springs 4B, 11 and 20 with a scale value of 4 are relatively good compared to springs 02, 06, 07, 15 and 17. The cumulative flow of spring showed a linear response with cumulative rainfall for the period of June to September (monsoon period). The spring-shed was delineated and evaluated for optimization for the maximum efficiency, spring flow, ratio of area and relief versus maximum spring flow yield. The results revealed that the quantification of water fluxes for water balances, storage of groundwater and development of mathematical models can be used for sustainable water resources development and to revive the mountain springs which helped the adverse impacts of climate change.
New opportunities for assessing the optimal positioning of a multipolar left ventricular electrode for resynchronization therapy
Authors: Romanov A. , Morzhanaev E. , Mikheenko I. , Ponomarenko A. , Filippenko A. , Nikitin N. , Minin S. , Losik D. , Mironenko S.
Published: December 2019

Heart failure and left bundle branch block is a common disease in the modern world. Cardiac resynchronization therapy is used to correct this condition, but some patients have no positive clinical effect from its use. One of the reasons for the lack of response to therapy is not the optimal position of the left ventricular electrode. In this clinical case we presented the experience of using myocardial perfusion scintigraphy to determine the optimal position of the left ventricular electrode.A 60-year-old patient, who was admitted to the center with symptoms of heart failure and signs of complete left bundle branch block, underwent an implantation of the cardiac resynchronization system. Both intraoperative data and the data of preliminary myocardial scintigraphy were used to select the site of implantation of the left ventricular electrode. A significant improvement in the patient’s condition, evaluated after 6 months after the implantation of the device, allowed us to conclude that the use of myocardial perfusion scintigraphy with standard methods of ultrasound diagnosis can increase the efficiency of implantation of cardiac resynchronization devices and a response to the therapy.Received 2 October 2019. Revised 20 December 2019. Accepted 23 December 2019.Funding: The work is supported by a grant of the President of the Russian Federation for young scientists No. МД-2893.2018.7.Conflict of interest: Authors declare no conflict of interest.
Recognition of Invasive Prostate Cancer Using a GHRL Polypeptide Probe Targeting GHSR in a Mouse Model In Vivo
Authors: Ye Huamao , Yang Yue , Chen Rui , Shi Xiaolei , Fang Yu , Yang Jun , Dong Yuanzhen , Chen Lili , Xia Jianghua , Wang Chao , Yang Chenghua , Feng Jun , Wang Yang , Feng Xiang , Lü Chen
Published: December 2019

Background:

Ghrelin (GHRL) is a polypeptide that can specifically bind to the growth hormone secretagogue
receptor (GHSR). The expression of GHSR is significantly different in normal and prostate cancer
(PC) tissues in humans. It is important to find an effective diagnostic method for the diagnosis and prognosis of
invasive PC/neuroendocrine prostate cancer (NEPC).

Methods:

GHRL and GHSR mRNA levels were determined by a quantitative real-time polymerase chain reaction
in PC tissues. The expression of GHRL and GHSR proteins was assessed by Western blot assay and immunohistochemistry.
A GHRL polypeptide probe was synthesized by standard solid-phase polypeptide synthesis, and
labeled with Alexa Fluor 660. Confocal microscopy was used to capture fluorescence images. Living imaging
analysis showed tumor areas of different invasiveness in mice models.

Results:

GHRL and GHSR mRNA levels were determined by a quantitative real-time polymerase chain reaction
in PC tissues. The expression of GHRL and GHSR proteins was assessed by Western blot assay and immunohistochemistry.
A GHRL polypeptide probe was synthesized by standard solid-phase polypeptide synthesis, and
labeled with Alexa Fluor 660. Confocal microscopy was used to capture fluorescence images. Living imaging
analysis showed tumor areas of different invasiveness in mice models.

Conclusion:

GHSR and GHRL might be used in molecular imaging diagnosis for invasive PC/NEPC in the future.
Role of BCL-2 Family Proteins in Apoptosis and its Regulation by Nutrients
Authors: Zheng Chen , Liu Ting , Liu Huihui , Wang Jing
Published: December 2019

In the body, millions of cells die and proliferate each day to maintain normal function and cooperation of all tissues, organs, and systems. Thus, programmed cell death, or apoptosis, is critical to sustain growth, development, and body health. The vital role of B-cell leukemia/lymphoma-2 (BCL-2) family proteins in apoptosis has been identified. The BCL-2 family includes both pro- and antiapoptotic proteins, which are structurally and functionally related, containing up to four BCL-2 homology (BH) motifs (BH1-4). There are also some nutritional factors that regulate apoptosis via the BCL-2 family proteins. In this review, the BCL-2 family proteins and their apoptosis-inducing mechanism have been discussed, along with the nutrient factors that regulate apoptosis through the BCL-2 family proteins.
Neuraminidase from Influenza A and B Viruses is Susceptible to the Compound 4-(4-Phenyl-1H-1,2,3-Triazol-1-yl)-2,2,6,6-Tetramethylpiperidine-1- Oxyl
Authors: Sacramento Carolina Q. , Jordão Alessandro Kappel , Abrantes Juliana L. , Alves Cristiane M. , Marttorelli Andressa , Fintelman-Rodrigues Natalia , de Freitas Caroline S. , de Melo Gabrielle R. , Cunha Anna Claudia , Ferreira Vitor F. , Souza Thiago Moreno L.
Published: December 2019

Background:

Since the influenza virus is the main cause of acute seasonal respiratory infections
and pandemic outbreaks, antiviral drugs are critical to mitigate infections and impair chain of
transmission. Neuraminidase inhibitors (NAIs) are the main class of anti-influenza drugs in clinical use.
Nevertheless, resistance to oseltamivir (OST), the most used NAI, has been detected in circulating
strains of the influenza virus. Therefore, novel compounds with anti-influenza activity are necessary.

Objective:

To verify whether the NA from influenza A and B virus is susceptible to the compound 4-(4-
phenyl-1H-1,2,3-triazol-1-yl)-2,2,6,6-tetramethylpiperidine-1-oxyl (Tritempo).

Methods:

Cell-free neuraminidase inhibition assays were performed with Tritempo, using wild-type
(WT) and OST-resistant influenza strains. Cell-based assays in MDCKs were performed to confirm
Tritempo`s antiviral activity and cytotoxicity. Multiple passages of the influenza virus in increasing concentrations
of our compound, followed by the sequencing of NA gene and molecular docking, were used
to identify our Tritempo’s target.

Results/Discussion:

Indeed, Tritempo inhibited the neuraminidase activity of WT and OSTresistant
strains of influenza A and B, at the nanomolar range. Tritempo bound to WT and OST-resistant
influenza NA isoforms at the sialic acid binding site with low free binding energies. Cell-free assays
were confirmed using a prototypic influenza A infection assay in MDCK cells, in which we found an
EC50 of 0.38 µM, along with very low cytotoxicity, CC50 > 2,000 µM. When we passaged the influenza
A virus in the presence of Tritempo, a mutant virus with the G248P change in the NA was detected. This
mutant was resistant to Tritempo but remained sensitive to OST, indicating no cross-resistance between
the studied and reference drugs.

Conclusion:

Our results suggest that Tritempo’s chemical structure is a promising one for the development
of novel antivirals against influenza.
ABC-Gly: Identifying Protein Lysine Glycation Sites with Artificial Bee Colony Algorithm
Authors: Yao Yanqiu , Zhao Xiaosa , Ning Qiao , Zhou Junping
Published: December 2019

Background:

Glycation is a nonenzymatic post-translational modification process by attaching
a sugar molecule to a protein or lipid molecule. It may impair the function and change the characteristic
of the proteins which may lead to some metabolic diseases. In order to understand the underlying molecular
mechanisms of glycation, computational prediction methods have been developed because of their
convenience and high speed. However, a more effective computational tool is still a challenging task in
computational biology.

Methods:

In this study, we showed an accurate identification tool named ABC-Gly for predicting lysine
glycation sites. At first, we utilized three informative features, including position-specific amino
acid propensity, secondary structure and the composition of k-spaced amino acid pairs to encode the
peptides. Moreover, to sufficiently exploit discriminative features thus can improve the prediction and
generalization ability of the model, we developed a two-step feature selection, which combined the
Fisher score and an improved binary artificial bee colony algorithm based on the support vector machine.
Finally, based on the optimal feature subset, we constructed an effective model by using the
Support Vector Machine on the training dataset.

Results:

The performance of the proposed predictor ABC-Gly was measured with the sensitivity of
76.43%, the specificity of 91.10%, the balanced accuracy of 83.76%, the Area Under the receiveroperating
characteristic Curve (AUC) of 0.9313, a Matthew’s Correlation Coefficient (MCC) of
0.6861 by 10-fold cross-validation on training dataset, and a balanced accuracy of 59.05% on independent
dataset. Compared to the state-of-the-art predictors on the training dataset, the proposed predictor
achieved significant improvement in the AUC of 0.156 and MCC of 0.336.

Conclusion:

The detailed analysis results indicated that our predictor may serve as a powerful complementary
tool to other existing methods for predicting protein lysine glycation. The source code and
datasets of the ABC-Gly were provided in the Supplementary File 1.
Ultrasound Characteristics in Complicated Ovarian Cysts
Authors: Achour Radhouane , Rachid Najla , Hamila Tarek , Hmid Rim Ben
Published: December 2019

Background:

Ultrasonography is the first complementary examination and it is an efficient
method to identify different types of cystic lesions of the ovary as well as their complications.

Objective:

This work aims to study ultrasound characteristics of complicated ovarian cysts and their
contribution to emergency department management.

Methods:

It is a retrospective study of 61 patients who have consulted the emergency department,
during 6 months, from November 2016 to April 2017. We included all patients consulting the
emergency department for symptoms related to an ovarian cyst.

Results:

The average size of the cysts was 5.38± 2.27 cm long axis, ranging from 3 to 12 cm. Their
wall was thin in 59 cases and thick in 4 cases. They were unilocular in 82% and multilocular in
17.5% of cases. The echogenicity of the cysts varied. The contour of the cysts was regular in 54
cases, while irregularity was shown in 9 cases. Intracystic vegetations were illustrated in 4 cases.
The solid component was demonstrated in only 1 cyst. The Douglas effusion was shown in 12.7%
of cases.

:

The comparison of ultrasound findings between outpatient and hospitalized ones shows that there is
no significant relationship between the following ultrasound features of ovarian cysts and hospitalization‘
s indication (p>5%).

Conclusion:

Pelvic ultrasound is of great benefit in the diagnosis of ovarian cysts, however, there is
no significant relationship between the features of ovarian cysts and indication of hospitalization
(p>5%).
Preliminary Anti-Coxsackie Activity of Novel 1-[4-(5,6-dimethyl(H)- 1H(2H)-benzotriazol-1(2)-yl)phenyl]-3-alkyl(aryl)ureas
Authors: Piras Sandra , Corona Paola , Ibba Roberta , Riu Federico , Murineddu Gabriele , Sanna Giuseppina , Madeddu Silvia , Delogu Ilenia , Loddo Roberta , Carta Antonio
Published: December 2019

Background:

Coxsackievirus infections are associated with cases of aseptic meningitis,
encephalitis, myocarditis, and some chronic disease.

Methods:

A series of benzo[d][1,2,3]triazol-1(2)-yl derivatives (here named benzotriazol-1(2)-yl)
(4a-i, 5a-h, 6a-e, g, i, j and 7a-f, h-j) were designed, synthesized and in vitro evaluated for cytotoxicity
and antiviral activity against two important human enteroviruses (HEVs) members of the
Picornaviridae family [Coxsackievirus B 5 (CVB-5) and Poliovirus 1 (Sb-1)].

Results:

Compounds 4c (CC50 >100 μM; EC50 = 9 μM), 5g (CC50 >100 μM; EC50 = 8 μM), and 6a
(CC50 >100 μM; EC50 = 10 μM) were found active against CVB-5. With the aim of evaluating the
selectivity of action of this class of compounds, a wide spectrum of RNA (positive- and negativesense),
double-stranded (dsRNA) or DNA viruses were also assayed. For none of them, significant
antiviral activity was determined.

Conclusion:

These results point towards a selective activity against CVB-5, an important human
pathogen that causes both acute and chronic diseases in infants, young children, and immunocompromised
patients.
In Silico Design, Synthesis and Evaluation of Novel Series of Benzothiazole- Based Pyrazolidinediones as Potent Hypoglycemic Agents
Authors: Haroun Michelyne
Published: December 2019

Background:

The discovery of novel ligand binding domain (LBD) of peroxisome proliferator-
activated receptor γ (PPARγ) has recently attracted attention to few research groups in order
to develop more potent and safer antidiabetic agents.

Objective:

This study is focused on docking-based design and synthesis of novel compounds combining
benzothiazole and pyrazolidinedione scaffold as potential antidiabetic agents.

Methods:

Several benzothiazole-pyrazolidinedione hybrids were synthesized and tested for their in
vivo anti-hyperglycemic activity. Interactions profile of title compounds against PPARγ was examined
through molecular modelling approach.

Results:

All tested compounds exhibited anti-hyperglycemic activity similar or superior to the reference
drug Rosiglitazone. Introducing chlorine atom and alkyl group at position-6 and -5 respectively
on benzothiazole core resulted in enhancing the anti-hyperglycemic effect. Docking study
revealed that such groups demonstrated favorable hydrophobic interactions with novel LBD Ω-
pocket of PPARγ protein.

Conclusion:

Among the tested compounds, N-(6-chloro-5-methylbenzo[d]thiazol-2-yl-4-(4((3,5-
dioxopyrazolidin-4-ylidene)methyl)phenoxy)butanamide 5b was found to be the most potent compound
and provided valuable insights to further develop novel hybrids as anti-hyperglycemic
agents.
A Drug Target Interaction Prediction Based on LINE-RF Learning
Authors: Wang Jihong , Shi Yue , Wang Xiaodan , Chang Huiyou
Published: December 2019

Background:

At present, using computer methods to predict drug-target interactions
(DTIs) is a very important step in the discovery of new drugs and drug relocation
processes. The potential DTIs identified by machine learning methods can provide guidance
in biochemical or clinical experiments.

Objective:

The goal of this article is to combine the latest network representation learning
methods for drug-target prediction research, improve model prediction capabilities, and
promote new drug development.

Methods:

We use large-scale information network embedding (LINE) method to extract
network topology features of drugs, targets, diseases, etc., integrate features obtained
from heterogeneous networks, construct binary classification samples, and use random
forest (RF) method to predict DTIs.

Results:

The experiments in this paper compare the common classifiers of RF, LR, and
SVM, as well as the typical network representation learning methods of LINE,
Node2Vec, and DeepWalk. It can be seen that the combined method LINE-RF achieves
the best results, reaching an AUC of 0.9349 and an AUPR of 0.9016.

Conclusion:

The learning method based on LINE network can effectively learn drugs,
targets, diseases and other hidden features from the network topology. The combination
of features learned through multiple networks can enhance the expression ability. RF is an
effective method of supervised learning. Therefore, the Line-RF combination method is a
widely applicable method.
Radio-Susceptibility of Nasopharyngeal Carcinoma: Focus on Epstein- Barr Virus, MicroRNAs, Long Non-Coding RNAs and Circular RNAs
Authors: Lei Fanghong , Lei Tongda , Huang Yun , Yang Mingxiu , Liao Mingchu , Huang Weiguo
Published: December 2019

Nasopharyngeal carcinoma (NPC) is a type of head and neck cancer. As a neoplastic disorder, NPC is a highly malignant squamous cell carcinoma that is derived from the nasopharyngeal epithelium. NPC is radiosensitive; radiotherapy or radiotherapy combining with chemotherapy are the main treatment strategies. However, both modalities are usually accompanied by complications and acquired resistance to radiotherapy is a significant impediment to effective NPC therapy. Therefore, there is an urgent need to discover effective radio-sensitization and radio-resistance biomarkers for NPC. Recent studies have shown that Epstein-Barr virus (EBV)-encoded products, microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), which share several common signaling pathways, can function in radio-related NPC cells or tissues. Understanding these interconnected regulatory networks will reveal the details of NPC radiation sensitivity and resistance. In this review, we discuss and summarize the specific molecular mechanisms of NPC radio-sensitization and radio-resistance, focusing on EBV-encoded products, miRNAs, lncRNAs and circRNAs. This will provide a foundation for the discovery of more accurate, effective and specific markers related to NPC radiotherapy. EBVencoded products, miRNAs, lncRNAs and circRNAs have emerged as crucial molecules mediating the radio-susceptibility of NPC. This understanding will improve the clinical application of markers and inform the development of novel therapeutics for NPC.
First FDA Approved 3D Printed Drug Paved New Path for Increased Precision in Patient Care
Authors: Reddy C. Venkateswara , V. Balamuralidhara , Venkatesh M.P. , Pramod Kumar T.M.
Published: December 2019

The pharmaceutical industry is developed every year with the aim of public health,
safety, and financial growth. Keeping public safety in mind, the industry is mostly concentrated on
novel plans in the drug development process and plans on how to increase the curing rate of a disorder
and building up the accuracy in patient care. The increase in the number of diseases has led
to the generic and branded drug competition by which the pressure on the market has increased.
The pharmaceutical manufacturers are attempting to find the needs of patients in different ways.
The industries were manufacturing the drugs in unique ways which help to increase their productivity
and also to increase the patient experience. Due to this, all pharmaceutical manufacturers are
trying to manufacture drugs using 3D printing. In 2015, the industries succeeded by manufacturing
the drug Spritam using 3D printing and it was the first prescribed drug manufactured by using
3D printing (3DP). 3DP is the process of depositing powder in a layer upon layer that was opposite
to subtractive manufacturing and it is perfect for pharmaceuticals because it provides enhanced
accuracy in the development and formulation of dosage forms. The 3DP has different advantages
to companies and patients like an increase in dissolution rate, absorption, adherence, efficacy,
and long life of branded drugs along with the decrease in pill burden. This process leads to
a break in the manufacturing method of drugs but helps to overcome several problems and also
helps in better patient outcomes in the solid dose markets.
Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study
Authors: Zheng Yaguang , Weinger Katie , Greenberg Jordan , Burke Lora E , Sereika Susan M , Patience Nicole , Gregas Matt C , Li Zhuoxin , Qi Chenfang , Yamasaki Joy , Munshi Medha N.
Published: December 2019

Background

Previous studies have reported older adults’ perceptions of using health monitors; however, no studies have examined the actual use of multiple health monitors for lifestyle changes over time among older adults with type 2 diabetes (T2D).

Objective

The primary aim of this study was to examine the actual use of multiple health monitors for lifestyle changes over 3 months among older adults with T2D. The secondary aim was to explore changes in caloric intake and physical activity (PA) over 3 months.

Methods

This was a single-group study lasting 3 months. The study sample included participants who were aged ≥65 years with a diagnosis of T2D. Participants were recruited through fliers posted at the Joslin Diabetes Center in Boston. Participants attended five 60-min, biweekly group sessions, which focused on self-monitoring, goal setting, self-regulation to achieve healthy eating and PA habits, and the development of problem-solving skills. Participants were provided with the Lose It! app to record daily food intake and devices such as a Fitbit Alta for monitoring PA, a Bluetooth-enabled blood glucose meter, and a Bluetooth-enabled digital scale. Descriptive statistics were used for analysis.

Results

Of the enrolled participants (N=9), the sample was white (8/9, 89%) and female (4/9, 44%), with a mean age of 76.4 years (SD 6.0; range 69-89 years), 15.7 years (SD 2.0) of education, 33.3 kg/m2 (SD 3.1) BMI, and 7.4% (SD 0.8) hemoglobin A1c. Over the 84 days of self-monitoring, the mean percentage of days using the Lose It!, Fitbit Alta, blood glucose meter, and scale were 82.7 (SD 17.6), 85.2 (SD 19.7), 65.3 (SD 30.1), and 53.0 (SD 34.5), respectively. From baseline to completion of the study, the mean daily calorie intake was 1459 (SD 661) at week 1, 1245 (SD 554) at week 11, and 1333 (SD 546) at week 12, whereas the mean daily step counts were 5618 (SD 3654) at week 1, 5792 (SD 3814) at week 11, and 4552 (SD 3616) at week 12. The mean percentage of weight loss from baseline was 4.92% (SD 0.25). The dose of oral hypoglycemic agents or insulin was reduced in 55.6% (5/9) of the participants.

Conclusions

The results from the pilot study are encouraging and suggest the need for a larger study to confirm the outcomes. In addition, a study design that includes a control group with educational sessions but without the integration of technology would offer additional insight to understand the value of mobile health in behavior changes and the health outcomes observed during this pilot study.
Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model
Authors: Lee Sungjoo , Hong Sungjun , Cha Won Chul , Kim Kyunga
Published: December 2019

Background

A timely decision in the initial stages for patients with an acute illness is important. However, only a few studies have determined the prognosis of patients based on insufficient laboratory data during the initial stages of treatment.

Objective

This study aimed to develop and validate time adaptive prediction models to predict the severity of illness in the emergency department (ED) using highly sparse laboratory test data (test order status and test results) and a machine learning approach.

Methods

This retrospective study used ED data from a tertiary academic hospital in Seoul, Korea. Two different models were developed based on laboratory test data: order status only (OSO) and order status and results (OSR) models. A binary composite adverse outcome was used, including mortality or hospitalization in the intensive care unit. Both models were evaluated using various performance criteria, including the area under the receiver operating characteristic curve (AUC) and balanced accuracy (BA). Clinical usefulness was examined by determining the positive likelihood ratio (PLR) and negative likelihood ratio (NLR).

Results

Of 9491 eligible patients in the ED (mean age, 55.2 years, SD 17.7 years; 4839/9491, 51.0% women), the model development cohort and validation cohort included 6645 and 2846 patients, respectively. The OSR model generally exhibited better performance (AUC=0.88, BA=0.81) than the OSO model (AUC=0.80, BA=0.74). The OSR model was more informative than the OSO model to predict patients at low or high risk of adverse outcomes (P<.001 for differences in both PLR and NLR).

Conclusions

Early-stage adverse outcomes for febrile patients could be predicted using machine learning models of highly sparse data including test order status and laboratory test results. This prediction tool could help medical professionals who are simultaneously treating the same patient share information, lead dynamic communication, and consequently prevent medical errors.
Sustentabilidade municipal no contexto de uma política pública de controle do desmatamento no Pará
Authors: Francisco do Vale Francinelli Angeli , Toledo Peter Mann de , Vieira Ima Célia Guimarães , Santos Junior Roberto Araújo Oliveira
Published: December 2019

Este trabalho analisou o desempenho de sustentabilidade de 26 municípios do arco do desmatamento no estado do Pará, Brasil nos anos 2000 e 2010, utilizando-se o Barômetro da Sustentabilidade com 31 indicadores nas dimensões social, econômica e ambiental. Os resultados mostram que Altamira e Novo Progresso tem desempenho intermediário nos dois anos e cinco municípios progrediram para o nível intermediário em 2010 enquanto os outros permaneceram em situação crítica. Houve desaceleração do desmatamento nos municípios, mas apesar dos resultados positivos alcançados, eles foram pouco satisfatórios para mudar o status de sustentabilidade dos municípios.
¿La desterritorialización, una noción para explicar el mundo rural contemporáneo? Una lectura desde los Andes Ecuatorianos
Authors: Martínez Godoy Diego
Published: December 2019

Después de revisar varias teorías que analizan la desestructuración de los espacios rurales, el artículo propone el uso del concepto desterritorialización para explicar el mundo rural del presente siglo. Con base en un estudio de caso en una zona campesina andina de Ecuador, se plantea la medición de la desterritorialización para dar cuenta, no sólo del grado de avance de este proceso, sino de las diferentes posiciones de los actores frente al proceso. Finalmente, se discuten las posibilidades de generar iniciativas de acción colectiva endógenas, útiles para la recuperación del control de la cadena productiva por parte de los actores locales.
¿Es Internet un territorio? Una aproximación a partir de la investigación del hacktivismo en México
Authors: Lechón Gómez Domingo Manuel , Ramos Muñoz Dora Elia
Published: December 2019

El presente artículo pretende responder a la pregunta: ¿es Internet un territorio? Con ese objetivo se aportan elementos empíricos y teóricos sobre los discursos de las transformaciones actuales en el mundo digital. Este análisis surge de una investigación sobre los hacktivismos en México, realizada desde los marcos de acción colectiva y la investigación narrativa, donde se cuestiona la virtualidad de la Internet, se describen sus jardines vallados y se utiliza la idea de extractivismo para explicar el proceso de acopio de datos por las empresas tecnológicas, y finalmente, se propone estudiar desde las ciencias sociales a la Internet como ciberterritorio
SEMIOTIC REASONING EMERGES IN CONSTRUCTING PROPERTIES OF A RECTANGLE: A STUDY OF ADVERSITY QUOTIENT
Authors: Suryaningrum Christine Wulandari , Purwanto Purwanto , Subanji Subanji , Susanto Hery , Ningtyas Yoga Dwi Windy Kusuma , Irfan Muhammad
Published: December 2019

Semiotics is simply defined as the sign-using to represent a mathematical concept in a problem-solving. Semiotic reasoning of constructing concept is a process of drawing a conclusion based on object, representamen (sign), and interpretant. This paper aims to describe the phases of semiotic reasoning of elementary students in constructing the properties of a rectangle. The participants of the present qualitative study are three elementary students classified into three levels of Adversity Quotient (AQ): quitter/AQ low, champer/AQ medium, and climber/AQ high. The results show three participants identify object by observing objects around them. In creating sign stage, they made the same sign that was a rectangular image. However, in three last stages, namely interpret sign, find out properties of sign, and discover properties of a rectangle, they made different ways. The quitter found two characteristics of rectangular objects then derived it to be a rectangle’s properties. The champer found four characteristics of the objects then it was derived to be two properties of a rectangle. By contrast, Climber found six characteristics of the sign and derived all of these to be four properties of a rectangle. In addition, Climber could determine the properties of a rectangle correctly.
Interim assessment of the degree of achievement of the planned indicators of the Federal target program «Research and development in priority areas of development of the scientific and technological complex of Russia for 2014–2020»
Authors: Mikhailets V. B. , Radin I. V. , Shurtakov K. V.
Published: December 2019

The article summarizes the results of the interim assessment of the degree of achievement of the planned indicators of the Federal target program «Research and development in priority areas of development of the scientific and technological complex of Russia for 2014–2020».
Assessment of the global competitiveness of Russian companies in the competitive landscape of the automotive industry
Authors: Tsvetkova L. A. , Kurakov F. A.
Published: December 2019

In order to determine the position of large Russian companies on the competitive landscape of the global automotive market, a comparative analysis of the largest Russian companies with foreign counterparts was conducted on a number of financial and economic indicators characterizing their innovative activity and efficiency. To compare the patent portfolios of Russian companies and similar global companies, the following indicators were used: the total number of patent applications filed by the company, the stability of patent activity, the number of technological areas in the strategic focus of the company (the breadth of the company’s R&D footprint), etc. It is concluded that Russian automakers ignore the new paradigm of global market leadership based on technological development: their R&D budgets are hundreds of times smaller than those of foreign companies-analogues, and portfolios of patents obtained in various national patent offices are thousands and tens of thousands of times smaller compared to market leaders.
The principles of the formation of personnel academic strategies in Belarus
Authors: Makovskaya N. V.
Published: December 2019

The article presents the results of a scientific study of the current state of the motivational component of academic workers in the Republic of Belarus. The trends of academic behavior of the faculty of Belarusian universities are determined. The factors affecting the academic motivation of teachers are identified. The analysis and evaluation of academic strategies for the development of universities in the socio-economic conditions of Belarus is presented, the characteristics of the factors and principles affecting the formation of personnel strategies are given.
Trace of the effect of social innovation in patent data
Authors: Fedulkin D. P. , Cherchenko O. V.
Published: December 2019

It is proposed to consider as a subtype of social innovation a significant change in the interaction of the scientific team that has arisen as a result of a scientific or scientific-technical project, generating specific conditions for obtaining and (or) developing new knowledge and, possibly, the economic benefits of such a change. A hypothesis has been put forward that the use of patent data characterizing individual results of scientific and technical activity allows us to identify scientific or scientific and technical projects and their results, which have become drivers of the growth of social innovations or social effects of innovation, which consist in expanding the boundaries of the previous scientific school of performers or creating new scientific school, or in expanding the boundaries of research. The hypothesis was tested on a number of completed projects of the federal target program «Research and Development in Priority Directions for the Development of the Scientific and Technological Complex of Russia for 2014–2020».
Effects of the polymer molecular weight and type of cation on phase diagrams of polythylene glycol + sulfate salts aqueous two-phase systems
Authors: Parmoon Gholamhossein , Nafchi Abdorreza , Pirdashti Mohsen
Published: December 2019

Phase diagrams and liquid ? liquid equilibrium (LLE) data for aqueous two-phase systems (ATPSs) containing zinc sulfate, magnesium sulfate or aluminium sulfate and polyethylene glycols PEG 300, 400 and 600 have been determined at 298.15 K. It was attempted to show how the PEG molecular weight and the type of cation influence the binodal curve, tie line length (TLL) and slope of the tie line (STL). The results have shown that as the PEG molecular weight increases, the two-phase region becomes extended and the binodal curve shifts to the origin. The refractive index and density of ternary (PEG 300,400 and 600 + zinc sulfate/magnesium sulfate/aluminium sulfate + water) systems have been measured to achieve the phase composition and the tie lines. Finally, the effective excluded volume (EEV) model was applied to describe the salting-out ability of the systems. The LLE data from this research may be potentially used for recovering biological molecules like proteins.
Experimental Investigation of Passive Water Cooling in Solar Heating Thermoelectric Generator
Authors: ÖZBAŞ Engin
Published: December 2019

In this study, a thermoelectric generator (TEG) system
is designed to produce electricity from solar energy. Solar powered two-phase
closed thermosiphon (TPCT) type heat pipe is used to heat the hot surface of
the TEG, and a 1200 cc capacity passive water-cooled system is designed and
manufactured to cool the cold side. The cooling system has two sections as
primary and secondary sections which provide a natural water circulation to
achieve an efficient cooling. A single TEG is used in most studies in the
literature while 5 TEGs are used in this study to obtain a simple, easy and
cheap design to generate more electricity. Not only the effect of passive water
cooling, but also the effect of using a reflector on the system efficiency is
tested experimentally. The system is operated by solar power under three
different conditions as non-reflector, semi-reflector and full-reflector.
Electrical and thermal data are recorded in a computer and data obtained from
08:00 to 15:00 is used for comparison and calculations. Maximum output power,
electrical efficiency and Seebeck coefficient calculations are made for only
TEG-1 in which the maximum open-circuit voltage is reached. Results showed that
using a heat pipe with a small capacity passive water-cooling, the temperature
difference for five TEGs can be reached to generate electricity.
Modeling of Bio-Oil Production by Pyrolysis of Woody Biomass: Artificial Neural Network Approach
Authors: ÖZBAY Günay , KÖKTEN Erkan Sami
Published: December 2019

This study is dedicated to
developing a reliable artificial neural network (ANN) model to model the
pyrolysis liquid product (bio-oil). Some related parameters with the bio-oil
yield such as the pyrolysis temperature, duration, catalyst type, catalyst ratio,
particle size, proximate, and ultimate analysis of the biomass were tested. Due
to the different characteristics of different biomass types and pyrolysis
methods, only slow and intermediate pyrolysis data from woody biomass were used
in modeling. The correlation coefficients (R) were 0.992, 0.933, and 0.951 for
training, validation, and testing, respectively. In order to evaluate the
predictability of the ANN model, the predicted results were compared with the
experimental results that were not introduced before. The simulated data were
in good agreement with the experimental results indicating the reliability of
the developed model. The relative impact results revealed that the most
important parameter that affects the bio-oil yield was catalyst type (11.4%).
The Impact on the Russian Criminal Law of the Evolution of Certain Areas of Innovation (on Example of the Development of Biotechnology)
Authors:   Vologda Law and Economic Institute of the Federal Penitentiary Service of Rus-sia, Nekrasov Vasily Nikolaevich
Published: December 2019

The paper attempts to analyze the effect that various directions and types of innovative activity have on law. Changes in social relations in recent years, as is commonly thought, are associated with the devel-opment of technologies, robotics, artificial intelli-gence, digitalization, genetic engineering, etc. Tak-ing for granted and sometimes superficially study-ing these trends, the legislator fixes and details such concepts in the legislation. At the same time, no analysis has been carried out and no answers have been given to the questions: how are the indicated terms and directions for changing social relations related to each other, is there something in common that allows them to be combined into a more sys-temic component? According to the author, the domestic legislator in the current Criminal Code does not take into account the recent trends result-ing from innovative activities, namely the develop-ment of telemedicine technologies and the possibil-ity of selling medicines via the Internet, when differ-entiating responsibilities. It seems that all the indi-cated changes and innovations in social relations are associated with one process, namely, innovative development. Moreover, digitalization, informatiza-tion, the development of biotechnology, robotics, etc. are components of one more general and uni-fied process, namely the development of innovation. The author investigated these changes using the example of criminal law and in relation to such a direction of innovative activity as the development of biotechnology.
On the Issue of Public Danger of Acts Related to Violation of Intellectual Property Rights
Authors:   Vyatka State University, Yurkov Sergey Alexandrovich
Published: December 2019

The paper is devoted to the problem of determining the social danger of acts, violating the rights of in-tellectual property. The points of view of a number of authors regarding the content, nature and degree of social danger of acts are analyzed. The author takes the position that socially dangerous are not only crimes, but also other offenses. It has been established that at present there are no clear criteria for determining the nature and degree of public danger of acts. In relation to violations of rights to the results of intellectual activity, it is proposed to consider the object of encroachment as such, crimi-nal consequences (property damage to authors and copyright holders, moral damage), potentially dan-gerous consequences for consumers of intellectual property results, the possibility of such violations on the Internet. Also, when assigning a specific act to a particular type of offense, the legislator should take into account the type of result of intellec-tual activity. It was concluded that it is necessary to develop a differentiated system of legal protection of intellectual property.
Germany and Transformation Processes in Security: The Approach of the Left Party «Die Linke»
Authors:   Institute of Europe, Russian Academy of Sciences, Sindeev Alexey Aleksandrovich
Published: December 2019

The paper continues a series of studies on current approaches to transforming security in the Federal Republic of Germany. The scientific novelty lies in exploring the potential for participation of the Left Party (Die Linke), despite the radical demands for security, in the federal government, which is being actively discussed in Germany in the context of the search for a center-left alternative. In addition, the Left may be interesting to initiate discussions on collective security in Europe. The article considers the main, in the opinion of the author, program doc-uments of the Left. The work does not contain, by virtue of the subject, theoretical significance. The author was also forced to abandon practical recom-mendations, since the approach of the Left Party is only one of the possible future scenarios, which is the focus of the title of the work.
Defects of Restriction of Electoral Competition Between Political Parties in Russia and in Foreign Countries: Comparative Analysis
Authors:   Naberezhnye Chelny Institute (Branch) of Kazan (Volga Region) Federal University, Kurochkin Anatolyi Vasilyevich
Published: December 2019

Under the conditions prevailing in the Russian party system, similar tendencies in working with voters are observed in various electoral processes. Among them, political technologies used by parties to gain the attention of the electorate and overcome bu-reaucratic barriers to elections are of particular im-portance. The indicated problems and contradic-tions in the institutionalization of Russian political parties are projected onto electoral competition. As a result, the author substantiates the conclusion that it is difficult for Russian political parties to bor-row the experience of foreign party systems against the background of significant state interference in both internal party affairs and electoral processes, complicated by the dominance of the party in power. As a result, people who do not have party member-ship are allowed to participate in elections from a number of political parties.
The Threats of Ensuring Information Sovereignty of Russia (on the Example of Blocking Telegram)
Authors:   Institute of Social Sciences, the Russian Presidential Academy of National Economy and Public Administration, Kurkov Vladislav Nikolaevich
Published: December 2019

The study analyzes the problems of information sovereignty of Russia on the example of measures to restrict access to Telegram. It is noted that de-spite a fairly formed legal framework, there are cer-tain vulnerabilities in its provision. The distinctive features of the messenger are revealed, which allow us to judge that it has an impact on the political sphere, in particular the protest activity of citizens. It is also indicated that the Russian sectoral legislation has been amended, which will allow a qualitatively different level to block the service. The reasons that make it difficult to implement restrictive procedures in relation to the communication platform are high-lighted. Attention is drawn to the further improve-ment of sectoral legislation, which would allow to respond to emerging information challenges. It is expected that the natural contradictions between ensuring information sovereignty and respect for citizens’ rights to privacy will increase in the course of technological development.
Multifactorial Model Of Attitudes Towards Appearance: Empirical Investigations
Authors: Labunskaya Vera
Published: December 2019

This study is focusing on interrelations between attitudes towards Appearance (AP), value functional significance of AP, and life satisfaction. The study is aimed at gaining a theoretical foundation of the developed Multifactorial Model of Attitudes towards AP as well as at empirical testing of the interrelations between the single factors of the model and their combined influence on life satisfaction. It is hypothesised that a different combination of the single factors of the Multifactorial Model of Attitudes towards AP has a different impact on life satisfaction. The participants were 86 females and 86 males aged between 17 and 25 years. The inventory “Diagnostics of Real Structure of Personality Value Orientations” (Bubnova, 1999) the questionnaires “Significance of AP in Various Life Situations” (Labunskaya & Serikov, 2018), Attitudes towards AP, Satisfaction and Concern” (Labunskaya & Kapitanova, 2016), the AP Perfectionism Scale (APPS) (Srivastava, 2009) and the Life Satisfaction Index developed by Neugarten and adopted by N. V. Panina (1993) were administered. The factorial analysis revealed two types of interrelations that relate to different components of the developed Multifactorial Model of Attitudes towards AP. The results showed that considering AP as a value, attributing of higher significance to AP in various interaction contexts as well as higher AP perfectionism lead to lower life satisfaction.
Resorcinol-Formaldehyde Carbon Gels Adsorption: A Commentary
Authors: Faizal Azrul Nurfaiz Mohd , Zaini Muhammad Abbas Ahmad
Published: December 2019

This work is aimed at highlighting the recent progress of resorcinol-formaldehyde carbon gels adsorption of water pollutants. The synthesis strategies of the carbon gels were discussed to shed some light on the development of mesoporous matrix of carbon gel via the agglomeration of colloidal particles. The surface area of adsorbent can reach as high as 3000 m2/g by CO2 activation, while the surface functionalities are introduced through modification techniques for improving the removal performance. However, most of the recent studies are inclined at batch mode of adsorption with lack of information on the scale-up of the process in continuous mode. Carbon gel is a special class of porous material that can be moulded into desired size, hence a promising adsorbent candidate for monoliths and packings in column adsorption. Therefore, more dedicated works should be established to materialize the applications of carbon gel in column adsorption, particularly at industrial scale.