bluuebunny/crossref_metadata_2025 huggingface dataset:
An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning
Authors: Yan Bowei , Ye Xiaona , Wang Jing , Han Junshan , Wu Lianlian , He Song , Liu Kunhong , Bo Xiaochen
Published: May 2022

In the process of drug discovery, drug-induced liver injury (DILI) is still an active research field and is one of the most common and important issues in toxicity evaluation research. It directly leads to the high wear attrition of the drug. At present, there are a variety of computer algorithms based on molecular representations to predict DILI. It is found that a single molecular representation method is insufficient to complete the task of toxicity prediction, and multiple molecular fingerprint fusion methods have been used as model input. In order to solve the problem of high dimensional and unbalanced DILI prediction data, this paper integrates existing datasets and designs a new algorithm framework, Rotation-Ensemble-GA (R-E-GA). The main idea is to find a feature subset with better predictive performance after rotating the fusion vector of high-dimensional molecular representation in the feature space. Then, an Adaboost-type ensemble learning method is integrated into R-E-GA to improve the prediction accuracy. The experimental results show that the performance of R-E-GA is better than other state-of-art algorithms including ensemble learning-based and graph neural network-based methods. Through five-fold cross-validation, the R-E-GA obtains an ACC of 0.77, an F1 score of 0.769, and an AUC of 0.842.
Notch3-Mediated mTOR Signaling Pathway Is Involved in High Glucose-Induced Autophagy in Bovine Kidney Epithelial Cells
Authors: Cui Yaocheng , Fang Jing , Guo Hongrui , Cui Hengmin , Deng Junliang , Yu Shumin , Gou Liping , Wang Fengyuan , Ma Xiaoping , Ren Zhihua , Xie Yue , Geng Yi , Wang Ya , Zuo Zhicai
Published: May 2022

It is reported that Notch3 and mTOR signaling pathways are involved in autophagy, and both can be activated by high glucose (HG). However, the relationship between Notch3 and mTOR and how Notch3 affects mTOR to regulate HG-induced autophagy in bovine kidney epithelial cells is still unclear. The purpose of this study is to explore how Notch3 affects mTOR to modulate HG-induced autophagy in bovine kidney cells. Our results showed that HG treatment significantly decreased the cell viability of MDBK cells in a dose-dependent manner. HG treatment significantly increased the expression of LC3-II/I ratio and Beclin1 protein and significantly decreased the expression of p62 protein. Consistently, LC3 fluorescence signal formation was detected by immunofluorescence in both dose and time-dependent manners. In addition, HG treatment significantly increased the expression of Notch3 protein and decreased the expression of the p-mTOR protein in both dose and time-dependent manners. Inhibition of Notch3 upregulated the expression of p-mTOR and p62 protein, and downregulated the expression of LC3-II/I ratio and Beclin1 protein. Besides, the function of Notch3 was investigated. In this study, inhibition of Notch3 activity significantly increased the viability of HG-stimulated MDBK cells. In summary, our results revealed that the Notch3-mediated mTOR signaling pathway was involved in HG-induced autophagy in MDBK cells.
Synthetic and Nanotechnological Approaches for a Diagnostic Use of Manganese
Authors: Sguizzato Maddalena , Martini Petra , Marvelli Lorenza , Pula Walter , Drechsler Markus , Capozza Martina , Terreno Enzo , Del Bianco Lucia , Spizzo Federico , Cortesi Rita , Boschi Alessandra
Published: May 2022

The development of multimodal imaging techniques such as positron emission tomography (PET) and magnetic resonance imaging (MRI) allows the contemporary obtaining of metabolic and morphological information. To fully exploit the complementarity of the two imaging modalities, the design of probes displaying radioactive and magnetic properties at the same time could be very beneficial. In this regard, transition metals offer appealing options, with manganese representing an ideal candidate. As nanosized imaging probes have demonstrated great value for designing advanced diagnostic/theranostic procedures, this work focuses on the potential of liposomal formulations loaded with a new synthesized paramagnetic Mn(II) chelates. Negatively charged liposomes were produced by thin-layer hydration method and extrusion. The obtained formulations were characterized in terms of size, surface charge, efficiency of encapsulation, stability over time, relaxivity, effective magnetic moment, and in vitro antiproliferative effect on human cells by means of the MTT assay. The negatively charged paramagnetic liposomes were monodisperse, with an average hydrodynamic diameter not exceeding 200 nm, and they displayed good stability and no cytotoxicity. As determined by optical emission spectroscopy, manganese complexes are loaded almost completely on liposomes maintaining their paramagnetic properties.
Enhanced Photocatalytic Activity of Zn-Al Layered Double Hydroxides for Methyl Violet and Peat Water Photooxidation
Authors: Fatimah Is , Yahya Amri , Iqbal Rendy Muhamad , Tamyiz Muchammad , Doong Ruey-an , Sagadevan Suresh , Oh Won-Chun
Published: May 2022

Zn-Al Layered Double Hydroxides (Zn-Al LDHs) and its calcined form were successfully prepared and utilized for the removal of methyl violet (MV) and treatment of peat water by photocatalytic oxidation. The research was aimed to evaluate the effect of calcination to Zn-Al LDHs for the effect on the physicochemical character and the capability as a photocatalyst. The characterization of the samples was investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), Brunauer–Emmet–Teller specific surface area (BET), and X-ray photoelectron spectroscopy (XPS). The results showed that the increased BET specific surface area along with the enhanced porous structure was achieved by the calcination procedure, which is associated with the enhanced interlayer space of d003 identified by XRD analysis. Thermal conversion showed an influence to the increased band gap energy from 3.10 eV in the uncalcined Zn-Al LDHs into 3.16 eV for the calcined material. These character changes contributed to the enhanced photocatalytic activity of the Zn-AL LDHs by calcination, which was proposed and verified by experiments. It was observed that photocatalytic activity of the material for MV gave about a 45.57% removal of MV and a 68% removal for the natural organic material of the peat water.
Fabp7 Is Required for Normal Sleep Suppression and Anxiety-Associated Phenotype following Single-Prolonged Stress in Mice
Authors: Vanderheyden William M. , Lefton Micah , Flores Carlos C. , Owada Yuji , Gerstner Jason R.
Published: May 2022

Humans with post-traumatic stress disorder (PTSD) exhibit sleep disturbances that include insomnia, nightmares, and enhanced daytime sleepiness. Sleep disturbances are considered a hallmark feature of PTSD; however, little is known about the cellular and molecular mechanisms regulating trauma-induced sleep disorders. Using a rodent model of PTSD called “Single Prolonged Stress” (SPS) we examined the requirement of the brain-type fatty acid binding protein Fabp7, an astrocyte expressed lipid-signaling molecule, in mediating trauma-induced sleep disturbances. We measured baseline sleep/wake parameters and then exposed Fabp7 knock-out (KO) and wild-type (WT) C57BL/6N genetic background control animals to SPS. Sleep and wake measurements were obtained immediately following the initial trauma exposure of SPS, and again 7 days later. We found that active-phase (dark period) wakefulness was similar in KO and WT at baseline and immediately following SPS; however, it was significantly increased after 7 days. These effects were opposite in the inactive-phase (light period), where KOs exhibited increased wake in baseline and following SPS, but returned to WT levels after 7 days. To examine the effects of Fabp7 on unconditioned anxiety following trauma, we exposed KO and WT mice to the light–dark box test before and after SPS. Prior to SPS, KO and WT mice spent similar amounts of time in the lit compartment. Following SPS, KO mice spent significantly more time in the lit compartment compared to WT mice. These results demonstrate that mutations in an astrocyte-expressed gene (Fabp7) influence changes in stress-dependent sleep disturbances and associated anxiety behavior.
Spurious Tone Reduction and Signal Stabilization of Optoelectronic Oscillators by Low-Frequency RF Signal Modulation
Authors: Cho Jun-Hyung , Jeong Hyo-Sang , Sung Hyuk-Kee
Published: May 2022

In this study, the oscillation signal stabilization and spurious tone suppression of a directly modulated optoelectronic oscillator (DM-OEO) are simultaneously achieved by modulating a laser with a low-frequency radio frequency (RF) signal. The laser in the DM-OEO is modulated by a rectangular wave with a period inversely proportional to the frequency interval of the spurious tones and a duty cycle of 50%. The optical sidebands of the rectangular wave-modulated laser pulled the optical gain of the spurious tones of the DM-OEO, resulting in a spurious tone suppression and time stabilization in the DM-OEO signal. We achieve a 15 GHz DM-OEO with a 40.14 dB side-mode suppression ratio (SMSR) and 2.55 dB improvement in the oscillation power stability compared to that without RF modulation.
The Nuclear Shell Model towards the Drip Lines
Authors: Brown B. Alex
Published: May 2022

Applications of configuration-mixing methods for nuclei near the proton and neutron drip lines are discussed. A short review of magic numbers is presented. Prospects for advances in the regions of four new “outposts” are highlighted: 28O, 42Si, 60Ca and 78Ni. Topics include shell gaps, single-particle properties, islands of inversion, collectivity, neutron decay, neutron halos, two-proton decay, effective charge, and quenching in knockout reactions.
Multicriteria Decision Making of a Life Cycle Engineered Rack and Pinion System
Authors: Nicolalde Juan Francisco , Martínez-Gómez Javier , Vallejo Juan
Published: May 2022

The automotive industry has been developed over the years to build lighter and more efficient vehicles; however, the manufacturing processes still have an important environmental impact starting from the acquisition of the raw material until the end of its useful life. In this sense, life cycle engineering contributes to solve the environmental issues produced by the traditional manufacturing industry by considering a process that evaluates the technical aspects of the product but also weights the importance of the environmental impact. However, since there are some alternatives that can be considered as suitable for their technical, environmental, or cost qualities, the multicriteria decision methods used as an engineering tool have been useful to balance all the needed criteria in order to make the best selection. In this sense, this research provided an analysis of five materials that could be used in a rack and pinion system and were submitted to a process of life cycle analysis to consider the environmental parameters as part of the criteria to be assessed by the multicriteria decision methods such as entropy, the Technique of Order Preference Similarity method, the complex proportional assessment method, and the multicriteria optimization and compromise solution, leading to the selection of the best material to be considered for a rack and pinion system. In this sense, the process allowed us to conclude that some materials that are useful can be evaluated by multicriteria decision methods regarding the life cycle analysis, contributing to the application of these methods to make a more environmentally responsible material selection for automotive parts. Furthermore, among all the materials, the best suited for the rack and pinion system was the AISI 4340, which was validated by finite elements simulation, showing that the selection was optimal with a maximum stress of 216.14 MPa, a maximum deformation of 0.0081 mm, and a minimum safety factor of 3.56. In this sense, the simulation validated the selection made before, guaranteeing that the methods used are feasible for automotive applications.
Cotton Textile with Antimicrobial Activity and Enhanced Durability Produced by L-Cysteine-Capped Silver Nanoparticles
Authors: Novoa Carla Cisternas , Tortella Gonzalo , Seabra Amedea B. , Diez María Cristina , Rubilar Olga
Published: May 2022

Background: In this study, L-cysteine-capped silver nanoparticles (Cys-AgNPs) were successfully linked in a cotton textile, being attached in a covalent way to the cotton fibers via esterification with the hydroxyl groups from the cellulose. The AgNPs were strongly adhered to the fiber surface through coordination bonds with the thiol groups from the L-cys. In addition, they were compared with biogenic silver nanoparticles produced from fungi (bio-AgNPs). Materials and methods: The characterization of the Cys-AgNP and the bio-AgNP solutions were accomplished by UV−visible (UV−Vis), Z-potential, and X-ray diffraction (XRD). After the attachment of the Cys-AgNPs and the bio-AgNPs to the raw cotton, the textile surface was characterized by variable pressure scanning electron microscopy (VP-SEM), energy dispersive X-ray (EDX), and Fourier transform infrared spectroscopy (FT-IR). The antibacterial activity was performed by disk diffusion analysis. Results: The results of the UV−Vis analysis showed the presence of AgNPs in the Cys-AgNPs and the bio-AgNPs solutions, showing the Surface Plasmon resonance (SPR) for the AgNPs among 380–420 nm. In addition, they exhibited a Z-potential of −27 and −24 mV, respectively, with the presence of elemental silver shown by the XRD analysis. The VP-SEM images from the cotton fabrics covered in Cys-AgNPs and bio-AgNPs showed the presence of spherical AgNPs on their surface, and EDX analysis revealed the presence of peaks associated with the presence of Ag, C, and O. Furthermore, FT-IR analysis exhibited peaks associated with the presence of L-cysteine (SH-) and carboxylic acid arising from the esterification reaction among the cellulose from cotton and the carboxylic acid in the L-Cys molecules. Finally, the cotton textile exhibited antibacterial activity against Escherichia coli and Staphylococcus aureus. Conclusions: This study demonstrates the ability of Cys-AgNPs to bind to the cellulose from cotton fabric so as to produce antibacterial fabrics with enhanced durability, opening a wide range of options to be further used in healthcare and other industries.
Design Framework and Laboratory Experiments for Helix and Slinky Type Ground Source Heat Exchangers for Retrofitting Projects
Authors: Kling Stephan , Haslinger Edith , Lauermann Michael , Witte Henk , Reichl Christoph , Steurer Alexander , Dörr Constantin
Published: May 2022

The focus of the experimental work was on shallow spiral geothermal heat exchanger configurations. Real-scale experiments were carried out for vertically oriented spiral collectors (helix) in sand and soil. One objective was to develop a measurement concept in laboratory environment to create a framework for a validated database. This database serves as the basis for further and new development of engineering design tools. To achieve the highest possible data-point density in the observed environment, temperature sensors and a fiber-optic temperature measurement system (DTS) were used. Soil probes were taken in situ before and after the measurements and analyzed at a thermophysical laboratory to determine material properties. The heat flow was controlled by an electric heating cable, which was installed in the form of a spiral-shaped heat exchanger in a 1 m³ container. To guarantee constant boundary conditions, the measurements were carried out in a climate chamber at a defined ambient temperature. The evaluation of the transient response behavior is spatially resolved. The results are coordinate-based temperature points, which describe temperature gradients in all axes of the container over time, which are combined with known soil properties. The collected data was used to develop computational fluid dynamic (CFD) models, which are used to extend the variety of geometry and soil configurations for developing new design tools.
Digital Marketing Enhancement of Cryptocurrency Websites through Customer Innovative Data Process
Authors: Sakas Damianos P. , Giannakopoulos Nikolaos T. , Kanellos Nikos , Tryfonopoulos Christos
Published: May 2022

Today, more than ever, the popularity of decentralized payment systems has risen, creating an outbreak of new cryptocurrencies hitting the market. Unique websites have been staged for each cryptocurrency, where information and means for mining cryptocurrencies are available daily. People visit those cryptocurrency websites either from desktop or mobile devices. Thus, the impulsion for appropriate promotion of cryptocurrency websites and customer factors affecting it rises. The above process increases cryptocurrency organizations’ website visibility, raising the need for customer relationships and satisfaction optimization concerning organizations’ supply chain strategy. Research data were collected from 10 well-known cryptocurrency websites, regarding mobile and desktop devices, in 180 days, regarding on-site web analytics. Therefore, a model consisting of three stages was applied. Starting phase of the model pertains to statistical and regression analysis of cryptocurrency web analytics, followed by Fuzzy Cognitive Mapping and Agent-Based Model deployment. Throughout this study, methods for promoting cryptocurrency websites can be deduced from assessing specific website metrics and device preferences. Research results indicate that web analytics give a clearer image of customer behavior in cryptocurrency websites and, therefore, provide opportunities for further website optimization through increased web traffic and digital reputation.
Theoretical Analysis of the Micro Annulus of an Oil-Well Cement Sheath Formed via Cooling under Acid-Fracturing Conditions
Authors: Su Donghua , Wu Xuning , Li Zaoyuan , Huang Sheng , Li Jin , Sun Jinfei , Zheng Guanyi
Published: May 2022

The plastic deformation and interface micro annulus of oil-well cement during acid fracturing are key reasons for the failure of the wellbore seal and sustained casing pressure. However, most of the existing research ignores the influence of the wellbore cooling effect during acid fracturing, owing to which, the design conditions in the theoretical analysis may be inconsistent with those of the actual wellbore, and the calculation results may be biased. In this study, a novel elastoplastic mechanical model of the cement sheath was established. This model can analyze the yield state of the cement sheath under the influence of three-dimensional principal stress and consider the effect of the differential temperature stress on the interface debonding of the cement sheath from the beginning to the end of acid fracturing. Moreover, the generation mechanism and development law of the interface micro annulus were clarified. The findings indicated that the influence of the intermediate principal stress cannot be ignored; otherwise, the elastoplastic analysis results of the cement sheath may be conservative. During acid fracturing, the casing–cement sheath interface is influenced by the differential temperature stress, and the interface is debonded; however, a micro annulus is not generated. The debonding of the cement sheath–formation interface and micro annulus occurs only when the cement sheath is completely plastic. After acid fracturing, the interface micro annulus is likely to be generated at the casing–cement sheath interface, and the presence of the differential temperature stress may increase the formation risk of the interface micro annulus. The research results can provide theoretical guidance for the prediction of oil-well cement sheath interface seals under acid-fracturing conditions.
Improved Constrained Predictive Functional Control Using Extended Non-Minimal State Space Formulation for the Cement Production Process
Authors: Luo Qiuwen , Bai Jianjun , Wu Feng
Published: May 2022

In this article, an improved constraint dealing method and an extended state space model-based constrained predictive functional control (PFC) approach is developed for the denitration process in cement production. To improve the control effect of the presented strategy, first, an enhanced form-based state space model in which the changes of the output predictions can be regulated to achieve smoother system dynamics is constructed. Then, a modified constraint dealing scheme, which integrates the relaxation factors to improve the success probability of solving the relevant optimization, is also introduced for the proposed method. On the basis of the two merits, better ensemble control performance is anticipated. Simulations on the regulation of the NOx concentration in the denitration process prove the validity of the proposed constrained PFC strategy.
Risk Assessment of Polish Joint Stock Companies: Prediction of Penalties or Compensation Payments
Authors: Szymura Aleksandra
Published: May 2022

Corporate misconduct is a huge and widespread problem in the economy. Many companies make mistakes that result in them having to pay penalties or compensation to other businesses. Some of these cases are so serious that they take a toll on a company’s financial condition. The purpose of this paper was to create and evaluate an algorithm which can predict whether a company will have to pay a penalty and to discover what financial indicators may signal it. The author addresses these questions by applying several supervised machine learning methods. This algorithm may help financial institutions such as banks decide whether to lend money to companies which are not in good financial standing. The research is based on information contained in the financial statements of companies listed on the Warsaw Stock Exchange and NewConnect. Finally, different methods are compared, and methods which are based on gradient boosting are shown to have a higher accuracy than others. The conclusion is that the values of financial ratios can signal which companies are likely to pay a penalty next year.
Digital Identification of the Human Condition as a Prerequisite for the Effectiveness of the Organizational Automation (Biocybernetic) Systems Operation
Authors: Kodkin Vladimir L. , Artem’eva Ekaterina V.
Published: May 2022

The article deals with the problems of improving modern human-machine interaction systems. Such systems are called biocybernetic systems. It is shown that a significant increase in their efficiency can be achieved by stabilising their work according to the automation control theory. An analysis of the structural schemes of the systems showed that one of the most significantly influencing factors in these systems is a poor “digitization” of the human condition. “Digitization” here is the identification of a person as a participant in the interaction with a cybernetic or cyber-physical system. The main problem of a biocybernetic system construction is the non-stationarity of such human characteristics as time of the reaction to external disturbances, physical or nervous fatigue, the ability to perform the required amount of work, etc. At the same time, as a rule, there is no objective assessment of this non-stationarity. Under these conditions, ensuring the controllability and efficiency of biocybernetic systems is a very difficult task. It is proposed to solve this problem with the help of electrocardiogram signals: the most accessible and accurate information about a human’s current state. Herein, several examples of such solutions and the results of theoretical studies and experiments are discussed.
A Multi-Stage Visible and Infrared Image Fusion Network Based on Attention Mechanism
Authors: Zheng Xin , Yang Qiyong , Si Pengbo , Wu Qiang
Published: May 2022

Pixel-level image fusion is an effective way to fully exploit the rich texture information of visible images and the salient target characteristics of infrared images. With the development of deep learning technology in recent years, the image fusion algorithm based on this method has also achieved great success. However, owing to the lack of sufficient and reliable paired data and a nonexistent ideal fusion result as supervision, it is difficult to design a precise network training mode. Moreover, the manual fusion strategy has difficulty ensuring the full use of information, which easily causes redundancy and omittance. To solve the above problems, this paper proposes a multi-stage visible and infrared image fusion network based on an attention mechanism (MSFAM). Our method stabilizes the training process through multi-stage training and enhances features by the learning attention fusion block. To improve the network effect, we further design a Semantic Constraint module and Push–Pull loss function for the fusion task. Compared with several recently used methods, the qualitative comparison intuitively shows more beautiful and natural fusion results by our model with a stronger applicability. For quantitative experiments, MSFAM achieves the best results in three of the six frequently used metrics in fusion tasks, while other methods only obtain good scores on a single metric or a few metrics. Besides, a commonly used high-level semantic task, i.e., object detection, is used to prove its greater benefits for downstream tasks compared with singlelight images and fusion results by existing methods. All these experiments prove the superiority and effectiveness of our algorithm.
Advanced Security Framework for Internet of Things (IoT)
Authors: Ali Abid , Mateen Abdul , Hanan Abdul , Amin Farhan
Published: May 2022

The stimulus to carry out this research was to identify and propose a secure framework for the Internet of Things (IoT). Due to the massive accessibility and interconnection of IoT devices, systems are at risk of being exploited by hackers. Therefore, there is a need to find an advanced security framework that covers data security, data confidentiality, and data integrity issues. The study uses a systematic literature review (SLR) technique and complete substantive literature is reviewed to find out the constructs and themes in the existing literature. We performed it in four steps, which were inclusion, eligibility, screening, and identification. We reviewed around 568 articles from well-reputable journals, and after exclusion, 260 articles and 54 reports were analyzed. We performed an analysis using MAXQDA in which the nodes and themes were first identified. After the classification, a qualitative model was generated using MAXQDA. The proposed model is supported by the literature so it will be useful for the IT managers, developers, and the users of IoT.
Metrological Validation of Pixhawk Autopilot Magnetometers in Helmholtz Cage
Authors: Fariñas-Álvarez Noelia , Navarro-Medina Fermín , González-Jorge Higinio
Published: May 2022

The use of drones is very extended for multiple applications. Some of them impose attitude and navigation requirements that need appropriate measurements. Pixhawk is an open-source autopilot used on board drones that includes a magnetometer as part of its inertial measurement unit. A testing facility based on a Helmholtz cage is used to evaluate the metrological features of different magnetometer units. The first test induces a magnetic field rotation around six different Pixhawk magnetometers, simulating changes in attitude and course for a drone. The data show a standard deviation higher than 250 mG, in comparison with the standard deviation of 30 mG in the standard gaussmeter model HMR2300. The second test is focused on the stability of the magnetometer, where the Helmholtz cage simulates a certain flight altitude and course. Values obtained from Pixhawk magnetometers range between 25 mG and 116 mG for the highest peak-to-peak magnetic field amplitude, while the standard gaussmeter range is only between 1.3 mG to 5.4 mG. Considering these results, it is possible to determine the limitations of the Pixhawk autopilot magnetometer, both in terms of manufacturing tolerances and measuring stability. Therefore, users should be very careful when using this type of autopilot in professional applications that require precision and safety.
Novel Hybrid Thermal Management System for High-Power Lithium-Ion Module for Electric Vehicles: Fast Charging Applications
Authors: Karimi Danial , Behi Hamidreza , Van Mierlo Joeri , Berecibar Maitane
Published: May 2022

Lithium-ion capacitors (LiC) are hybrid energy storage systems (ESS) combining the advantages of lithium-ion batteries and electric double-layer capacitors, including longer lifetime, high power, and energy densities. LiCs are popular for high-power applications where fast charge and discharge driving profiles are demanded from electric vehicles (EV). However, LiCs generate excess heat when they are exposed to fast charging/discharging profiles. Therefore, a robust thermal management system (TMS) is crucial, in order to ensure reliable operation. In this study, a novel hybrid TMS based on air-cooling system assisted phase change materials (PCM), heat pipes, and a heat sink is proposed for an LiC module under a 150 A continuous current profile. A very thin aluminum heat sink and flat copper heat pipes were added to the PCM to increase its thermal conductivity. An experimental test bench of the proposed TMS was developed, and the temperature distribution of the module for each of the individual LiC cells was studied. The maximum temperature of the module under natural convection, when there was not any cooling system, reached almost 59.8 °C. The experimental results showed that after using the proposed hybrid TMS, the hottest cell reached 36.18 °C while the coldest cell reached 35.54 °C. Therefore, 39.5% improvement could be seen during the whole charge and discharge process after 3000 s. Moreover, the temperature difference within the module, of four LiCs, was around 0.64 °C, which was exceptional.
The Effects of a Recent Major Hurricane on a Reproductive Medicine Clinic
Authors: Rault Catherine , Braun Stefanie U. , Ulrich Nicole D.
Published: May 2022

Natural disasters and major weather events can have a large impact on fertility treatment in the affected area through unplanned clinic closures leading to cancelled cycles, severe weather endangering cryopreserved embryos and gametes, and long delays in the resumption of care related to infrastructure damage. The cessation of fertility treatment in these circumstances can lead to increased stress, anxiety, and trauma for patients and staff. As major weather events are expected to increase as a result of our warming planet, both the immediate effects of unplanned clinic closures and the long-term impacts on the success of assisted reproductive technology (ART) and pregnancy outcomes call for a closer evaluation of the effects of these events on the field of reproductive medicine. Research on developing new strategies to mitigate potential negative effects and improving our disaster preparedness is needed.
El apoyo de España a la Gobernanza Democrática en América Latina
Authors: Ramos Marisa
Published: May 2022

En el actual contexto de deterioro democrático y de esfuerzos por revitalizar el sistema democrático por parte de diferentes países e instituciones, entre ellos España, se estima oportuno analizar y revisar la trayectoria de la Cooperación Española en el sector del apoyo a la democracia y a sus instituciones en América Latina entre 1981 y 2019. Para ello, se pone el foco en la labor realizada por la Agencia Española de Cooperación Internacional para el Desarrollo (AECID), enmarcándola en la agenda internacional de la cooperación al desarrollo y en la coyuntura política nacional en la que fue desplegando sus intervenciones. El trabajo revisa, además, los marcos normativos y presupuestarios del sector, así como los subsectores a los que se ha orientado. Asimismo, se plantean cinco modelos de intervenciones en la región, que dan cuenta de diferentes enfoques en la forma de abordar el sector. Finalmente, se exponen algunos aprendizajes de estos más de 30 años de trayectoria, identificando también algunos desafíos que afronta en la actualidad el apoyo de España a la democracia y a sus instituciones en América Latina.
Lima Barreto e uma sistematização necessária: reflexões metodológicas sobre o ensino de literatura
Authors: Aguiar Marta Da Silva , Segabinazi Daniela Maria , De Souza Renata Junqueira
Published: May 2022

Partindo do pressuposto de que o ensino de literatura na Educação Básica deve constituir uma prática estimulante da criatividade e do senso crítico e de que para tal é imprescindível uma sistematização assentada em aportes teóricos claros, este trabalho descreve e analisa uma sequência didática vivenciada em 2019 para o estudo de Lima Barreto em turmas do 3º ano do Curso Técnico Integrado de Nível Médio em Edificações, no Instituto Federal da Paraíba (IFPB). Durante a atividade, buscou-se concretizar uma experiência significativa de leitura do romance Triste Fim de Policarpo Quaresma e dos contos O homem que sabia javanês e A nova Califórnia. Nos resultados, destacamos a clareza metodológica como fator essencial para a realização de uma leitura que é ao mesmo tempo apropriação da literatura e processo de compreensão de como os sentidos são construídos literariamente.
AUTOMATED CONTROL OF A GEOTHERMAL PLANT: THE CHOICE OF SOFTWARE TOOLS ON THE EXAMPLE OF THE KHANKALA GEOTHERMAL PLANT
Authors: Минцаев М. Ш. , Хакимов З. Л. , Лабазанов М. А. , Марсов В. И. , Илюхин А. В.
Published: May 2022

В статье приведено общее описание автоматизированной системы управления технологическим процессом (АСУТП) действующей на Ханкальском месторождении геотермальной станции с циркуляционной схемой отбора глубинного тепла Земли. Приводится структура АСУТП как классической трехуровневой системы с описанием структуры, функционала различных уровней. Проведен краткий обзор имеющегося базового и специализированного программного обеспечения для разработки различных подсистем АСУТП и обоснован выбор наиболее оптимальных и рациональных программных решений. Проведен обзор, приведены сравнительные характеристики ряда языков программирования стандарта МЭК 61131-3 и приводится обоснование выбора языка FBD для создания управляющей программы. В заключении отмечается, что опытная и промышленная эксплуатации Ханкальской геотермальной станции подтвердили эффективность и надежность выбранных схемных и программно-аппаратных решений.

The article provides a general description of the automated process control system (APCS) of a geothermal station operating at the Khankala field with a circulating scheme for extracting the deep heat of the Earth.The structure of the automated process control system as a classical three-level system with a description of the structure and functionality of various levels is given.A brief review of the available basic and specialized software for the development of various subsystems of process control systems was carried out and the choice of the most optimal and rational software solutions was substantiated.A review is carried out, comparative characteristics of a number of programming languages of the IEC 61131-3 standard are given, and the rationale for choosing the FBD language for creating a control program is given.In conclusion, it is noted that the pilot and industrial operation of the Khankala geothermal station confirmed the effectiveness and reliability of the selected circuit and software and hardware solutions.
PROTECTION OF WEB CONTENT FROM ILLEGITIMATE ROBOTIC COPYING
Authors: Демина Р. Ю. , Ажмухамедов И. М.
Published: May 2022

Владельцы онлайн-сервисов, содержащих какой-либо полезный контент или пользовательские данные заинтересованы в выявлении и блокировке роботизированного сбора информации. Парсинг часто применяется злоумышленниками с целью составления недобросовестной конкуренции в условиях рыночных отношений или даже мошенничества. Особый интерес также представляют пользовательские данные, которые предоставляются ими на различных сервисах. В статье рассмотрены как общие принципы сбора данных, так и типовые меры противодействия. Даны рекомендации по защите от парсинга как статически, так и динамически выводимого контента. Приведены примеры применения некоторых механизмов защиты от парсинга. Также рассмотрены способы защиты графического контента и особенности обнаружения ботов в онлайн-играх. В статье приведены примеры как успешной защиты от нелегитимного копирования, так и менее эффективной, по мнению авторов данной статьи.

Owners of online services containing any useful content or user data are interested in identifying and blocking the robotic collection of information. Parsing is often used by attackers to create unfair competition in market conditions or even fraud. Of particular interest is also the user data that they provide on various services. The article discusses both the general principles of data collection and typical countermeasures. Recommendations are given for protection against parsing of both statically and dynamically displayed content. Examples of application of some mechanisms of protection against parsing are given. Also considered are ways to protect graphic content and features of detecting bots in online games. The article provides examples of both successful protection against illegitimate copying, and less effective, according to the authors of this article.
PENERAPAN STRATEGI BISNIS DAN PENGUATAN KARAKTERISTIK KEWIRAUSAHAAN UNTUK MENINGKATKAN KINERJA UKM DI KABUPATEN BOALEMO SELAMA MASA PANDEMI COVID-19
Authors: Akuba Alfin , Masni Masni , Hasmirati Hasmirati
Published: May 2022

This study was conducted to determine the effect of implementing business strategies and strengthening entrepreneurial characteristics to improve the performance of SMEs during the Covid-19 period in Boalemo Regency. This study uses quantitative methods. The stages of this research method are divided into 3, namely the first data collection used in this study was carried out through online questionnaires, interviews, observations, documentation and literature studies, second data processing and third discussion of research results. The results of the study show that the implementation of business strategies and the strengthening of entrepreneurial characteristics together have a significant effect on the performance of SMEs. The partial implementation of the business strategy has a significant effect on the performance of SMEs in the Tilamuta sub-district, Boalemo district. Strengthening Entrepreneurial Characteristics partially has a significant effect on the performance of SMEs in Tilamuta District, Boalemo Regency.
KNOWLEDGE MANAGEMENT DAN KINERJA RUMAH SAKIT BERDASARKAN BALANCED SCORECARD DI PEKANBARU
Authors: Azmi Zul , Nuraima Nuraima , Fadrul Fadrul
Published: May 2022

The purpose of this research is to examine the effect of knowledge management on organization performance based on the balanced scorecard in the hospital. Knowledge management consists of knowledge management enablers (collaboration, trust, learning, centralization, formalization, T-shaped skills and technological support) and knowledge management process (socialization, externalization, combination, and internalization). This research refers to knowledge-based view theory and resources-based view theory to test hypotheses and other explanations of empirical results. The method of data collection in this research is survey method. Data analysis technique used is structural equation modeling (SEM) approach. The results show that knowledge management enablers and knowledge management process affect the performance of the hospital. The higher the management of knowledge in the hospital, the higher the quality of performance produced. Knowledge management enablers affect the knowledge management process. KM enablers that function as movers will help create processes in knowledge management (KM process).
PENGARUH KUALITAS PRODUK, HARGA, PROMOSI DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN KOSMETIK LIPSTIK MEREK WARDAH DI KOTA PEKANBARU
Authors: Yulianty Yulianty , Setyawan Onny , Indrastuti Sri
Published: May 2022

Modern life tends to offer convenience and beneficial products for people’s appearance. Like cosmetics, for now, cosmetics have become people’s needs, especially for women. Because for most of women, cosmetics help them to bolster up their appearance because it helps them to feel confident and leave a good impression. Because of the current high demands of cosmetics which gave the opportunity to a lot of company to offer their own products. The purpose of this research is to knowledge and analyze the effect of quality product, price, promotion, and brand image of wardah lipstick cosmetics in Pekanbaru city. The data analysis technique used is multiple linear regression analysis using the t-test and F test for hypothesis testing. The result of this research indicates that not all variables are influential, in the price variable there’s no significant influence on people’s buying decisions, while the variables of product quality, promotions, and brand image have a significant influence on people’s buying decisions of wardah lipstick cosmetics.
COVID-19: EFEK PADA SAHAM YANG TERDAFTAR DI JAKARTA ISLAMIC INDEX (JII)
Authors: Bintari Vivi Indah , Kusnandar Deasy Lestary
Published: May 2022

COVID-19 telah memengaruhi komunitas, Bisnis, dan organisasi secara global, yang secara otomatis mempengaruhi pasar keuangan dan ekonomi. Hal tersebut menyebabkan terjadinya penurunan yang signifikan pada kondisi pasar modal di Indonesia. Sehingga Bursa Efek Indonesia mengeluarkan pengumuman surat keputusan dewan direksi Bursa Efek Indonesia mengenai perubahan waktu perdagangan tentang transaksi pertukaran, mengenai perkembangan kondisi pasar modal global dan pasar modal Indonesia yang berada di bawah tekanan, antara lain dipengaruhi oleh penentuan virus korona (COVID-19) sebagai pandemi global oleh WHO. Dengan negara yang mayoritas masyarakatnya beragama Islam menjadikan indikator atau instrumen saham syariah di BEI menjadi hal yang menarik untuk dikaji dengan teliti. Penelitian ini bertujuan untuk menguji bagaimana wabah COVID-19 telah mempengaruhi perusahaan yang terdaftar di Jakarta Islamic Index (JII). Periode studi diklasifikasikan ke dalam periode sebelum dan setelah pengumuman. Data terdiri dari 30 observasi harga harian dari 30 perusahaan terpilih. Periode penelitian berkisar dari 4 Maret 2020 hingga 17 April 2020. Pengujian dilakukan dengan menggunakan uji beda Paired Sample t-test dengan software SPSS 26. Hasil dari penelitian menunjukkan bahwa ada perbedaan return yang signifikan antara sebelum dan setelah pengumuman surat keputusan dewan direksi Bursa Efek Indonesia mengenai perubahan waktu perdagangan tentang transaksi pertukaran, mengenai perkembangan kondisi pasar modal global dan pasar modal Indonesia yang berada di bawah tekanan, antara lain dipengaruhi oleh penentuan virus korona (COVID-19) sebagai pandemi global oleh WHO pada Jakarta Islamic Index (JII).
PENGELOLAAN LOYALITAS KERJA, STRES KERJA DAN SUPERVISOR SUPPORT DALAM MENINGKATKAN PRODUKTIVITAS KERJA KARYAWAN PADA MASA PANDEMI COVID 19
Authors: Suhardoyo Suhardoyo
Published: May 2022

Setiap organisasi dan perushaan pengelolaan karyawan perlu dilakukan secara baik terutama dalam meningkatkan produktivitas kerja karyawan sehingga keberlangsungan hidup perusahaan dapat dipertahankan. Namun tidak sedikit perusahaan mengabaikan hal ini, akibatnya produktivitas kerja karyawan turun yang mengakibatkan kerugian perusahan. Berdasarkan hasil penelitian pada industri garmen PT. Jinny Young Indonesia di Jakarta dengan sampel 66 karyawan . Berdasarkan hasil olah data dengan program SPSS 23 untuk melihat pengaruh variabel loyalitas kerja stres kerja dan supervisor support terhadap produktivitas kerja karyawan yang peroleh setelah dilakukan perhitungan menunjukkan bahwa secara parisal variabel loyalitas kerja memiliki pengaruh yang positif dan signifikan terhadapterhadap produktivitas kerja karyawan.Stress kerja memiliki pengaruh yang negatif dan signifikan terhadap produktivtas kerja karyawan dan Supervisor support memiliki pengaruh positif dan signifikan terhadap produktivitas kerja karyawan. Sedangkan secara simultan pengaruh variabel loyalitas kerja, stress kerja dan supervisor support bersama-sama memiliki pengaruh yang signifikan dan kuat terhadap produktivitas kerja karyawan. Selanjutnya apabila dilakukan pengelolan yang baik terhadap loyalitas kerja, stress kerja dan meningkatkan supervisor support maka akan mampu meningkatkan produktivitas kerja karyawan sesuai tujuan organisasi yang telah ditetapkan.
PENGARUH CITRA MEREK, KUALITAS PRODUK DAN HARGA TERHADAP LOYALITAS PELANGGAN PADA CV. CENTRAL KOMPUTER PEKANBARU
Authors: Chandra Stefani , Yandriyani Yandriyani
Published: May 2022

Persaingan bisnis yang semakin pesat pada saat ini sangat berpengaruh terhadap kemajuan teknologi yang bertujuan untuk memenuhi kebutuhan dan keinginan pelanggan. Penelitian ini bertujuan untuk menganalisis bagaimana pengaruh citra merek, kualitas produk, dan harga terhadap loyalitas pelanggan. Objek dari penelitian ini adalah CV. Central Komputer di Pekanbaru. Populasi pada penelitian ini adalah 1.500 orang dan telah terpilih 94 orang sebagai jumlah minimum responden. Teknik pengambilan sampel menggunakan metode probability sampling dengan menggunakan rumus Slovin. Metode analisis yang digunakan adalah software SPSS. Hasil penelitian ini menunjukkan bahwa citra merek dan kualitas produk memiliki pengaruh positif dan tidak signifikan terhadap loyalitas pelanggan, sedangkan harga memiliki pengaruh positif dan signifikan terhadap loyalitas pelanggan.
Sarcoidose Pulmonar Nodular
Authors: Thaís Dourado Matos de Souza  , Alana de Medeiros Nelli  , Juliane Penalva Costa Serra  , Jorge Humberto Ardila Vega  , Camila Melo Coelho Loureiro  , Bruna Melo Coelho Loureiro  , Jamocyr Moura Marinho
Published: May 2022

Sarcoidose é uma doença sistêmica que pode acometer vários órgãos. Relatamos o caso de uma paciente com acometimento pulmonar nodular que é uma apresentação rara da sarcoidose pulmonar. Caracteriza-se por sintomas constitucionais associados ao achado de único ou múltiplos nódulos pulmonares. A presença de granulomas geralmente não caseosos na biópsia pulmonar corrobora o diagnóstico, juntamente com a exclusão de outras doenças granulomatosas. O prognóstico costuma ser favorável, com boa resposta ao tratamento com corticosteroide oral.
Osteossarcoma Extraesquelético de Partes Moles: Relato de Caso e Revisão da Literatura
Authors: Ronald Enrique Delgado Bocanegra  , Luis Fernando Pinto Johnson  , Vitor Sávio Melo Costa  , Jamile de Souza Lins Dantas
Published: May 2022

Introdução: O osteossarcoma extraesquelético (OSE) corresponde a um sarcoma bastante raro de tecidos moles, sendo mais comumente observado em pacientes do sexo masculino e na sexta década de vida. O objetivo do presente estudo é contribuir com a escassa literatura acerca dessa modalidade tumoral, apresentando o caso de uma paciente do sexo feminino, com 35 anos, diagnosticada com OSE e tratada com cirurgia de ressecção completa e terapia adjuvante em uma instituição para tratamento oncológico no Brasil. Apresentação do caso: O presente relato de caso envolve uma paciente do sexo feminino, com 35 anos, que apresentava massa palpável e assintomática em coxa direita. Após biópsia, cujo diagnóstico anatomopatológico foi OSE, a mesma foi submetida a ampla ressecção tumoral e terapia adjuvante, tendo evoluído, no entanto, com metástase pulmonar, posteriormente. Foi submetida a novo esquema de quimioterapia e, finalmente, à quimioterapia paliativa, evoluindo a óbito após 25 meses. Conclusões: O OSE é um tumor maligno bastante raro, não havendo evidência suficiente para a realização de protocolo de tratamento específico para a doença. Considerando-se que o manejo é realizado com base nos protocolos para osteossarcoma intraósseo, seguiramse essas recomendações no referido caso, conseguindo uma sobrevida global de 25 meses após a cirurgia.