bluuebunny/crossref_metadata_2025 huggingface dataset:
DEVELOPMENT OF A COMPUTER MODEL FOR OBTAINING A SOLUTION OF COPPER SULFATE ADAPTED FOR SOLVING CONTROL PROBLEMS
Authors: Mysov Oleg , Levchuk Igor , Fesenko Kseniia , Savchenko Mariia , Gnatko Olena ,   Ukrainian State Chemical and Technological University
Published: March 2022

Copper sulfate is an inorganic compound that is currently widely used in the chemical industry, medicine and agriculture. When developing systems for automated control of the process of obtaining copper sulfate, there is a need for simple, high-speed and at the same time accurate mathematical models that are used both in improving algorithms for optimal control of this process, and in developing operator interfaces and debugging control algorithms. At the same time, the development of full-fledged mathematical models of technological processes is a very laborious task that requires significant material and time costs. The subject of study in the article is a computer model of the process of obtaining a solution of copper sulfate, implemented in the software environment of the universal modeling program ChemCAD. The aim of the work is to develop in a software environment a universal modeling program ChemCAD, a computer model of the process of obtaining a solution of copper sulphate, adapted for solving problems of control and integration into modern SCADA systems. Objectives: to develop a computer model of the process of obtaining a solution of copper sulfate in the ChemCAD simulation program; explore the process using a computer model, get graphical dependencies that describe the main technological parameters of the process; perform a comparative analysis of the data obtained by calculation with the experimental data of the laboratory setup and draw a conclusion about the functionality of the developed computer model; adapt the computer model to solve the control problem and develop the principles of two-way information exchange of the computer model based on OPC technology with the modern SCADA system TRACE-MODE 6. The methods used are: computer modeling of technological processes; OPC technology; SCADA. Conclusions: the novelty of the results obtained is as follows. In the ChemCAD software environment, a computer model of the process of obtaining a solution of copper sulfate has been developed, adapted for solving control problems and integration into existing SCADA systems. The principles and structure of two-way information exchange of a computer model with external control programs based on OPC technology have been developed.
Handlungsempfehlungen zur Verbesserung von Effektivität und Effizienz der Planung und Steuerung von Bauprojekten in einem Mittelständischen Generalplanungsunternehmen
Authors: Rudnik Angelika , Siegfried Patrick
Published: March 2022

Bauprojekte sind in der Regel komplexe Vorhaben. Sie werden mit Hilfe des Projektmanagements und dessen Verfahren, Prozessen und Techni-ken bewältigt. Dennoch sind deutsche Bauprojekte nicht selten von Kos-ten- und Terminüberschreitungen betroffen.

Ziel dieser Arbeit ist es, mögliche Optimierungsfelder im Planungs- und Steuerungsprozess eines Unternehmens für Industriebauprojekte zu iden-tifizieren und darauf aufbauende Verbesserungsansätze zu erarbeiten. Um die Ziele verfolgen zu können, wurde eine qualitative Sozialforschung mittels Experteninterviews durchgeführt. Die Expertenaussagen verdeutli-chen weiterhin Optimierungspotenzial, sowohl im Planungs- als auch im Steuerungsprozess. Ausgewählte Techniken (hauptsächlich aus dem klas-sischen Projektmanagement) dienen indessen dazu, die Effektivität und Effizienz des Planungsprozesses zu erhöhen. Innerhalb des Steuerungs-prozesses zeigt sich, dass viele Optimierungsbereiche der Steuerung auf den Defiziten der Planung beruhen
Stališča potrošnikov do nakupa električnih avtomobilov in njihovega vpliva na okolje v Sloveniji
Authors: Kalar Matej , Vukasović Tina
Published: March 2022

Zaradi vse strožjih okoljskih predpisov se avtomobilska industrija vse bolj usmerja v proizvodnjo avtomobilov na električni pogon. Na hitrost njihovega uvajanja na trg bodo ključno vplivala stališča potencialnih kupcev. V raziskavi so bila raziskana stališča potrošnikov do električnih avtomobilov v Sloveniji, ki vplivajo na nakupno verjetnost. Uporabljena je bila kvantitativna raziskovalna metoda s spletnim anketnim vprašalnikom. Ugotovljeno je bilo, kakšna so stališča električnih avtomobilov med potencialnimi potrošniki, kakšna pričakovanja imajo do njih, ocenjena je bila pomembnost njihovih različnih lastnosti in določeno je bilo, katere so jim bolj oziroma manj pomembne pri nakupu. Preverjeno je bilo, v kolikšnem času načrtujejo opraviti nakup, in raziskana so bila njihova stališča glede celotnega vpliva na okolje električnih avtomobilov v primerjavi s konvencionalnimi avtomobili na fosilna goriva.
Trends in the young generation travelling – the pilot research in the Czech Republic
Authors: Kalabova Marketa , Petru Zdenka
Published: March 2022

Youth travel is an important part of global tourism and one of the fastest growing segments. Pilot research based on the questionnaire survey in the Czech Republic identified the trends in young generation traveling, found out some similarities with previous research, but also some changes in these trends in comparison with previous young generation. Key findings of this pilot research are factors influencing nowadays young generation travel decisions, its travel motivation, destinations preferences, planning and booking preferences as well as young generation travel spend, including some specifics for Czech young generation. These findings are important for tourism services providers to adapt products and services to the young generation demand.
Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks
Authors: Shrivastava Vimal K. , Pradhan Monoj K.
Published: March 2022

The novel coronavirus (COVID-19) that emerged and transmitted from China (Wuhan City) had a staggering effect on public health and the world economy. The early diagnosis of COVID-19 has become more important for its treatment and for controlling its spread due to its highly transmissible nature. In addition, the restricted supply of test kits calls for an alternative system for diagnosis. Since radiological images of chest of patients with COVID-19 show abnormalities, it is possible to diagnose COVID-19 utilizing chest X-ray images. Therefore, by applying deep convolution neural network (CNN), we have presented a diagnosis of COVID-19 based on chest X-ray images in this paper. For the diagnosis of COVID-19, an exhaustive comparative performance analysis of 16 state-of-the-art models is presented. Moreover, each model is trained with three approaches: transfer learning, fine tuning and scratch learning. The experiments were conducted on the dataset that comprises of 127 images of COVID-19, 500 images of Pneumonia and 500 images of normal cases. We have performed the experiments in two scenarios: binary classification (COVID-19 vs. Normal) and multiclass classification (COVID-19 vs. Pneumonia vs. Normal). Further, we have applied cost-sensitive learning technique to handle the class imbalance issue. In this study, InceptionResNetV2 model with fine-tuning approach achieved highest classification accuracy of 99.20% in binary classification and Xception model achieved classification accuracy of 89.33% in multiclass classification among all considered models. To validate our approach, we have presented the performance of our model on three other datasets and achieved adequate classification accuracy. Hence, the promising results demonstrate that the fine-tuning of deep CNN models is an effective way for diagnosis of COVID-19 and therefore, it can be deployed in diagnostic centers to assist radiologist after its validation with more prominent datasets.
Attention-based bidirectional LSTM with embedding technique for classification of COVID-19 articles
Authors: Dutta Rakesh , Majumder Mukta
Published: March 2022

The epidemic of COVID-19 has thrown the planet into an awfully tricky situation putting a terrifying end to thousands of lives; the global health infrastructure continues to be in significant danger. Several machine learning techniques and pre-defined models have been demonstrated to accomplish the classification of COVID-19 articles. These delineate strategies to extract information from structured and unstructured data sources which form the article repository for physicians and researchers. Expanding the knowledge of diagnosis and treatment of COVID-19 virus is the key benefit of these researches. A multi-label Deep Learning classification model has been proposed here on the LitCovid dataset which is a collection of research articles on coronavirus. Relevant prior articles are explored to select appropriate network parameters that could promote the achievement of a stable Artificial Neural Network mechanism for COVID-19 virus-related challenges. We have noticed that the proposed classification model achieves accuracy and micro-F1 score of 75.95% and 85.2, respectively. The experimental result also indicates that the propound technique outperforms the surviving methods like BioBERT and Longformer.
Assessment and clustering of temporal disaster risk: Two case studies of China
Authors: Chen Ning , Zhang Zhige , Ma Yingchao , Chen An , Yao Xiaohui
Published: March 2022

Disaster risk assessment is the foundation to carry out a comprehensive disaster reduction. Despite a growing body of literature on this subject, dynamic risk assessment concerning the temporal characteristic of disaster risk receives relatively inadequate attention in previous research. This paper focuses on analyzing the temporal disaster risk over a period to enable decision makers to understand the risk variation explicitly and hence take long-term countermeasures for improving the prevention and mitigation of hazards. It is achieved by firstly evaluating the risk temporally and then aggregating the alternatives through a hybrid clustering method based on the similarity between risk vectors. The proposed method is employed to two case studies of China concerning public health events and natural disasters respectively. The risk variation disclosed brings insight into the properties of investigated alternatives and therefore contributes to effective disaster reduction.
Composite learning sliding mode control of uncertain nonlinear systems with prescribed performance
Authors: Xue Guangming , Lin Funing , Liu Heng , Li Shenggang
Published: March 2022

This paper explores the prescribed performance tracking control problem of nonlinear systems with triangular structure. To obtain the desired transient performance and precise estimations of uncertain terms, the techniques of neural network control, sliding mode control and composite learning control are incorporated into the proposed control method. The presented control strategy can ensure the tracking error converges to a prescribed small residual set. Compared with the persistent excitation condition required in the conventional adaptive control, the interval excitation condition needed in the proposed control approach is weak, which guarantees that the radial basis function neural networks approximate the unknown nonlinear terms more accurately. Finally, two simulation examples are exploited to manifest the effectiveness of the proposed approach.
Multi-objective optimization for multi-type transportation problem in intuitionistic fuzzy environment
Authors: Radhika K. , Arun Prakash K.
Published: March 2022

Multi-objective optimization is an emerging field concerning optimization problems associated with more than one objective function, each of them has to be optimized simultaneously. Multi-objective optimization is widely used in logistics and supply chains to reduce the cost and time involved in transportation. With the increase in Global Supply Chains, many organizations are facing the challenges of delivering products to their customers at a fast pace, low cost, and high reliability. There are numerous factors that may affect the goal of an organization to optimize the cost, time, and effort during the transportation of their products to the end customers. For instance, in the existing transportation problems, the type of vehicles used for the movement of the products is not focused. Transportation of the goods is considered to utilize any type of vehicle irrespective of the nature of the goods. However, in real-life scenarios, there are certain constraints in the vehicle used to transport the finished goods or raw materials from a source to a destination. Vehicles such as tanker trucks, top open trucks, closed trucks, etc. need to be booked based on the nature of goods to be transported. Also, the cost and time of transportation are uncertain in nature. In this paper, we formulate the Multi-Objective Solid Transportation Problem (MOSTP) by considering the above issue. The uncertain parameters of the problem are considered as Pentagonal Intuitionistic Fuzzy Numbers (PIFN). Magnitude method is used for defuzzification. An algorithm to find the solution of formulated Intuitionistic Fuzzy Multi-Objective Solid Transportation problem (IFMOSTP) is provided. The proposed model is illustrated by a numerical example which is solved with the help of LINGO software.
Fuzzy based approach for smart health monitoring systems using IoT devices
Authors: Ali Basit , Tayyaba Shahzadi , Ashraf Muhammad Waseem , Tariq Muhammad Imran , Imran Muhammad , Akhlaq Maham
Published: March 2022

IoT systems base devices are considered an excellent research domain owning to its expertise and applications in wide range of areas. IoT in health care domain is gaining attention due to its better access to the doctor and paramedical staff as well as sensor based studies which results in less man to man interacting and less fault in the data. The health care provider can easily access the vitals and various other medical parameters by even staying miles away from the patient. However, large amount of data transfer over various communication mediums results in more data traffic. This data transfer will require more power which will be utilized to transfer the data. To reduce this data traffic issues, an efficient method is used in this work in which only the data that is predominantly important to be send to the health care provider is send via the communication medium. Rule based fuzzy logic tool is used in this work for an elder patient having cardiac issues. Blood sugar (After eating), Blood pressues (systolic), Blood pressure (Diastolic) and cholesterol level are taken as the parameter that are examined for the patient and the medical treatment required is calculated. The rules are set on the basis of real time data and human knowledge. The results from the fuzzy logic interference shows that the health care provider will be alarmed using communication medium only when active or emergency medical treatment of the patient is required. A comparative study between the power utilized in normal data driven method and fuzzy method shows that the fuzzy method utilize 8 times less power than the normal method. The simulated and MAMDANI model calculated values shows less than 1% error which shows the accuracy of the work in health care domain.
Hybrid fuzzy clustering to improve services availability in P2P-based SaaS-cloud
Authors: Achache Abir , Baaziz Abdelhalim , Sari Toufik
Published: March 2022

Software as a Service is evolving as a leader model for cloud service delivery, enabling service providers to remotely deliver hosted, developed and managed software over the Internet. In parallel, some IT services are moving from traditional Internet services to cloud services based on peer-to-peer technologies. However, the P2P-based cloud is a large-scale, heterogeneous and highly dynamic environment whose performance is highly dependent on its ability to maintain persistent availability of SaaS services. In this paper, we propose an approach for improving SaaS service availability in order to meet service quality requirements and maintain performance in a P2P-Based cloud environment. It is mainly based on a new hybrid clustering mechanism that aims to provide a virtual and optimal infrastructure in order to organize the system peers into distinct clusters represented by virtual nodes forming together a virtual layer. This layer allows not only the distribution of peer providers but also the formation of condensed areas of each service of interest for a set of neighboring peers, which improve the availability probability of services in specific regions. In addition, a service availability measurement model was proposed based on the use of the system’s virtual layer taking into account different entities at different levels. The experimental results show that the proposed approach improves the probability of SaaS service availability and the reliability of the P2P-Cloud system. It responds mainly to the large-scale nature of distributed systems as well as making the best trade-off of maintaining QOS in terms of availability, performance and cost.
Effect and mechanism of mirror therapy on lower limb rehabilitation after ischemic stroke: A fMRI study
Authors: Cui Wei , Huang Lin , Tian Yang , Luo Hong , Chen Shuang , Yang Yan , Li Yamei , Fu Jing , Yu Qian , Xu Li
Published: March 2022

BACKGROUND: Mirror therapy has been gradually adopted for lower limb rehabilitation, but its efficacy and neural mechanism are not well understood. OBJECTIVE: This study aims to investigate the effect and neural mechanism of mirror therapy on lower limb rehabilitation after ischemic stroke by using resting state functional magnetic resonance imaging (rs-fMRI). METHODS: A single-blind and randomized controlled pilot study was conducted. 32 patients with ischemic stroke were included in this study and randomly divided into two groups – the control group (CT, n = 16) and the mirror therapy group (MT, n = 16). Both the CT and MT groups received medication and routine rehabilitation training. In addition, mirror therapy was added to the MT group 5 times a week for 30 minutes each time over a period of 3 weeks. Patients’ motor functions, functional connectivity (FC), regional homogeneity (ReHo), and fractional amplitude of low-frequency fluctuations (fALFF) were analyzed both before and immediately after the treatment. RESULTS: Patients’ motor functions showed significant improvement in both groups compared to those before treatment (p < 0.01). Moreover, the MT group showed significantly better improvement than the CT group after the treatment (p < 0.05). FC, ReHo and fALFF indicated enhanced neuronal activities in motor function-related brain regions in the MT group compared to the CT group. CONCLUSION: Mirror therapy promotes the recovery of lower limb motor functions in patients with ischemic stroke. Through the comparative rs-fMRI analysis, it is found that the mirror therapy promotes the functional reorganization of the injured brain.
Effects of inclined treadmill training on inadequate ankle control during walking in individuals after stroke: A pilot randomized controlled trial
Authors: Cheng Ju-Yu , Yang Yea-Ru , Yeh Nai-Chen , Cho Hsin , Wang Vinchi , Li Jui-Chang , Wang Ray-Yau
Published: March 2022

BACKGROUND: Inadequate ankle control influences walking ability in people after stroke. Walking on inclined surface activates ankle muscles and movements. However, the effect of inclined treadmill training on ankle control is not clear. OBJECTIVE: To investigate the effects of inclined treadmill training on ankle control in individuals with inadequate ankle control after chronic stroke. METHODS: This was a randomized single-blinded study. Eighteen participants were randomly assigned to receive 12 sessions of 30 min inclined (n = 9) or regular (n = 9) treadmill training and 5 min over-ground walking training. The outcomes included ankle control during walking, muscle strength of affected leg, walking performance, and stair climbing performance. RESULTS: Inclined treadmill training significantly improved ankle dorsiflexion at initial contact (p = 0.002), increased tibialis anterior activities (p = 0.003 at initial contact, p = 0.006 in swing phase), and decreased dynamic plantarflexors spasticity (p = 0.027) as compared with regular treadmill training. Greater improvements were also shown in stair climbing with affected leg leading (p = 0.006) and affected knee extensors strength (p = 0.002) after inclined treadmill training. CONCLUSIONS: Inclined treadmill training was proposed to improve inadequate ankle control after chronic stroke. Inclined treadmill training also improved the stair climbing ability accompanied with increased muscle strength of the affected lower extremity.
Nomogram based on prognostic nutrition index and Chest CT imaging signs predicts lymph node metastasis in NSCLC patients
Authors: Chen Minxia , Yang Yan , He Chengbin , Chen Litian , Cheng Jianmin
Published: March 2022

OBJECTIVE: To establish and validate a model capable of predicting lymph node metastasis (LNM) of non-small cell lung cancer (NSCLC) patients. METHODS: Preoperative clinical and CT imaging data on patients with NSCLC undergoing surgery were retrospectively analyzed. A model was developed using a training cohort of 290 patients. The univariate analysis followed by dichotomous logistic regression was performed to estimate different risk factors of lymph node metastasis, and a nomogram was constructed. Using another testing cohort of 120 patients, the performance of the nomogram was validated using several evaluation methods and indices and evaluated including via the area under the curve (AUC), calibration curve, Hosmer-Lemeshow test and decision curve analysis (DCA). RESULTS: CT-based imaging signs were important independent risk factors for lymph node metastasis in NSCLC patients. The possible risk factors also included four other independent risk factors through dichotomous logistic regression, i.e., age, SIRI, PNI and CEA, which were filtered and included in the nomogram. Nomogram yields AUC values of 0.828 [95% confidence interval (CI): 0.778–0.877] in the training cohort and 0.816 (95% CI: 0.737–0.895) in the validation cohort, respectively. The calibration curves showed high agreement in both the training and validation cohorts. At the threshold probability of 0–0.8, the nomogram increases the net outcomes compared to the treat-none and treat-all lines in the decision curve. CONCLUSIONS: The nomogram based on the PNI and CT images signs holds promise as a novel and accurate tool for predicting the LNM in NSCLC patients and guiding intraoperative lymph node dissection.
Improving the methodology for analyses of the morphological composition of municipal solid waste with stratification approach
Authors: Satin Ihor V. , Panchenko Olena S.
Published: March 2022

First, problem-solving for solid waste management should be based on solid field analysis of their morphological composition. It is important to conduct research for both urban and rural settlements to obtain results that are more reliable. The aim of this article is to improve methodological approaches to determining the morphological composition of solid waste. From the data analysis, it is established that the lack of morphological composition of solid waste in the methodology of research requirements for representativeness of research results, error rate and common approaches to the research plan leads to the inability to compare the results of such studies and reduces their value. This study presents a new approach to determining the morphological composition of solid waste. The process of field research of morphological composition in Sumy city took place in 4 stages – preliminary research, sampling planning, field research, evaluation of results. Obtained results show the importance of using the requirements for statistical reliability of results. The application of such an approach allows us to unify the results of the study, and to compare the individual results of determining the morphological composition between settlements and by years.
Mechanized processing of building equipment by abrasive working bodies
Authors: Abrashkevich Yury , Machyshyn Hrigoriy , Marchenko Oleksandr , Komotska Svitlana
Published: March 2022

Carrying out of the clearing operations at carrying out mechanized processing of construction equipment from paints and varnishes, rust, various kinds of pollution belongs to mass labour-consuming operations [1]. To carry out these operations, widespread use of hand-held machines, working bodies that have abrasive wheels and metal brushes. The versatility and versatility of these machines, combined with the correct selection of the desired abrasive work tool, can significantly accelerate and facilitate the performance of cleaning and grinding operations with the desired effect.

However, most of them have drawbacks in the cleaning of thin-sheet metal, since the removal of the base metal also takes place, which in most cases is not acceptable. So when processing non-metallic materials with metal brushes the working surface is clogged with small particles of metal, which subsequently leads to the formation of rust, and when cleaning the metal surfaces grooves are formed. Metal brushes are also ineffective in cleaning surfaces of synthetic enamels, curvilinear surfaces and inaccessible areas. Machining these tools is energy-intensive and requires the use of heavy-duty hand machines. Fiber and petal abrasive tools are not self-cleaning and lose their cutting power due to the filling of the intergranular space with cleaning waste.  Sand blasting is environmentally hazardous for workers and the environment, since the sand consumables fly over long enough distances (especially when clearing tall structures and structures).

The analysis showed that one of the effective tools for cleaning metal and non-metal surfaces from paint coatings, rust and other contaminants without removing the base material layer is a polymer-abrasive brush. However, there is insufficient research on the mechanism of its operation, energy and thermal processes that occur during operation and have a decisive influence on the performance of the polymer-abrasive brush.

The results of studies of the influence of structural and mode parameters of manual angle grinders with polymer-abrasive brushes are presented in the paper. The study of these issues is an urgent task, as it will allow to determine the parameters of the drive machine, rational modes and schemes of their operation, as well as the scope of use of such working bodies.
Calculations difference of hight-speed working units depending on the kinematics of their working processes
Authors: Teteriatnyk Oleksandr , Rashkivskiy Volodymyr
Published: March 2022

High-speed working units are very widely used in modern construction, in the destruction of durable materials and soils and more. When calculating the power and energy parameters of dynamic working units take into account changes in the nature of the interaction of the cutting element with the environment and the emergence and propagation of soil stresses from the action on the boundary of the array of the cutting element. This leads to the emergence of a stress-strain state in the soil mass, which has an oscillatory-wave character.

The nature of the stress-strain state is influenced by the state of the working environment and the speed of cutting (destruction) of the soil mass.

An unsolved problem in the dynamic destruction of soils is to take into account the kinematic features and technology of work with high-speed peripheral and front-end working units. The design parameters of these working units must take into account not only the dynamic parameters of the fracture process, but also the phenomenon of accumulation of fatigue deformations in the working environment.
Takhrīj Ḥadīth Ghars Al-Ashjār: Tracing the Greening Spirit Roots in Sunnah Nabawiyyah
Authors: Karim Taufiq Hidayat
Published: March 2022

Analyses of the National Disaster Management Agency (BNPB) states that beside weather and environmental typologies, human activities have a significant role in triggering disasters. Quran Surah Al-Rūm verse 41 has justified this idea, and legitimizes that disasters occur because of people’s lack of awareness and self-motivations to take care of the environment. This article seeks to investigate hadith matn to motivate the action of preserving the nature. This article focuses to find out a qualitative hadith in order to gain an appropriate understanding of hadith (fiqh al- ḥadīth). This research is a library research with a content analyses to related documents. In addition, this study applies a simultaneous hadith approach (a simultaneous method) and understanding of thematic hadith (fiqh al-ḥadīth al-mawḍū'i). This paper concludes that the hadith in this question had a quality of hadith ṣaḥīḥ li dzātih and included into mashhūr ḥadīth (popular hadith). This hadith provides a significant role to motivate greening for the preservation of nature.
Tracing the Theory of Hadith Quality in Kitab al-Jami' al-Sahih al-Sunan al-Tirmidzi
Authors: Ach Baiquni Baiquni
Published: March 2022

This paper tries to describe some of imam al-Tirmidizi's views related to the theory of hadith quality found in the book al-Jami al-Şahih al-Sunan al-Tirmîdzi , this paper is a literature study with a descriptive approach that yields the conclusion that Imam al-Tirmîdzi has a different concept than the hadith expert in describing the hadith ṣahīh, hasan and dha’īf. In the case of ṣahīh hadith, the theory used by imam al-Tirmdizi is almost the same as other hadith experts i.e. hadith sahih is a hadith whose isith continues, Narrated by the 'adil and dhabīt, while in the theory of hasan hadith, Tirmidzi has a unique concept that divides hasan into three namely hasan ṣahīh (hadith hasan approaching ṣahīh), hasan (hadith that exists about hasan sahih and gharīb) and hasan gharīb is a hadith that is close to hadith dha’īf. Then, the theory of dha’īf by Imam al-Tirmîdzi  is the same as other hadith scholars who do not meet ṣahīh and hasan and the connection of sanad is questioned.
ARTIFICAL INTELLIGENCE JOURNALISM AND THE PROBLEMS IT MAY BRING
Authors: Çelik Kubilay
Published: March 2022

The history of communication is as old as the history of humanity. In various ways since the existence of humanity; we have chosen to communicate. This way, which is very limited, started to develop after the invention of the printing. In fact, a new era has been opened in the field of communication. With the spread of communication; as in various countries of the world; In media professionalism, which was carried out mostly through the regiment (master - apprentice) in our country until then, an education campaign was made to train educated journalists. The educated people who have been educated in the journalism schools opened under various names in Turkey since 1948, the media has developed and has taken a great stride in the field of communication. However, with the development of technology in recent years; 'Artificial Intelligence Robots', which have entered many areas of our lives, have also started to enter the media sector. 'Artificial Intelligence Journalists', which emerged especially with the initiatives of Microsoft, have recently begun to disturb media workers in many parts of the world. Concerned that robots will take their jobs, 'flesh-and-bones journalists' in the media have sought how to fight these 'iron-heap journalists'. Although this situation does not pose a threat for the Turkish media yet, experts and scientists warn the traditional journalists who are still working and recommend that they take precautions on the issue of 'Artificial Intelligence Journalists'. Not only that; they also warn future journalists who are currently studying media at universities. In order to cope with “Artificial Intelligence Journalists”, besides the existing basic curriculum; They emphasize that taking some software courses such as Coding and Artificial Intelligence will be important for their future in the media. In this article, we will try to suggest solutions by examining these problems that artificial intelligence can bring to the media world, with the evaluation of experts.
Perceived Barriers and Facilitators of Adolescent Friendly Reproductive Health Services in the World: A Qualitative Systematic Review Protocol
Authors:   Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran., Banaei Mojdeh , Nazem Haniyeh ,   Department of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Darooneh Tayebeh ,   Student Research Committee, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Alidost Farzane ,   Department of Midwifery and Reproductive, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Published: March 2022

Background: Adolescents need services that improve their physiological, cognitive, emotional, and social alteration into adulthood. Since the adolescent health needs have been identified, the focus of service delivery has mainly been on access to sexual health care assistance, including HIV issues. Objectives: This systematic review aims to assess the perceived barriers and facilitators of adolescent friendly health services in the world because teens are a positive and energetic force for the present and future of a community. Methods: All qualitative studies from 2000 to 2019 have been considered in this review. The searched databases include Cochrane Central Register, MEDLINE, Google Scholar, Embase, ProQuest, Scopus, Web of Science, CINAHL, and the Ovid platform. The studies included those conducted on all gender and ethnic groups adolescents between 10 to19 years that received health services, as well as their families and health care providers. Selected studies will be critically appraised by two independent reviewers using the Joanna Briggs Institute (JBI) critical appraisal checklist for qualitative research. Qualitative data will be extracted from papers using the standardized data extraction tool from JBI SUMARI (System for the Unified Management, Assessment, and Review of Information) by two independent reviewers. Qualitative research findings will, where possible, be integrated using JBI SUMARI and the meta-aggregation approach, and the final synthesized findings will be graded according to the ConQual approach for establishing confidence in the output of qualitative research synthesis and illustrated in the summary of results. Conclusions: This systematic review addresses perceived barriers and facilitators of adolescent friendly health services in the world. Developing and extending young people’s demands is a concern for all societies. So the results of this study can help us to discover barriers and providers of adolescent friendly health services, and by removing barriers and strengthening facilitators, we will promote the possibility of adolescents accessing adolescent friendly health services.
Jigsaw Teaching VS Small Group Teaching: A Comparative Study Among Phase 3 MBBS Students in the Department of Paediatrics
Authors:   Department of Paediatrics, Malla Reddy Institute of Medical Sciences, Suraram, Hyderabad, India., Singaravelu Vidya , U Madhusudhan ,   Department of Physiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, India.
Published: March 2022

Background: The traditional large group didactic lectures have many shortcomings, so small group discussions have been proposed to overcome some of these shortcomings. However, a typical Small Group Discussion (SGD) remains a mini-interactive lecture in most cases. To improve students’ participation and their better understanding, many newer teaching-learning methods have been tried. Jigsaw teaching method, a type of cooperative learning, is one of these new methods. Obviously, the usefulness of jigsaw teaching must be compared with other small group teaching methods. Objectives: The aim of this study was to compare the effectiveness of the Jigsaw teaching technique with the small group teaching method. Methods: A quasi-experimental study was conducted over one month in the Paediatrics Department of DM WIMS medical college. After obtaining written informed consent, 30 students were randomly selected and allocated to the SGD and jigsaw groups (15 students in each group). Four topics were taken to both the groups who were crossed over after one session (a total of eight exposures). Their post-intervention mean scores were tabulated and analyzed. The Likert scale was used to assess the students’ evaluations of the jigsaw method. Results: The results showed that the jigsaw method had better students’ performance, which was statistically significant with a P<0.05. Also, the students’ evaluation showed that they appreciated the jigsaw teaching method, but time constraints were noted as a drawback. Conclusions: Jigsaw teaching is an excellent small group teaching method to ensure better students’ participation and understanding and can add to our repertoire of teaching-learning methods, which Competency-Based Medical Education (CBME) warrants.
Comparison of the Effect and Follow-up of Eight-Week Corrective Exercises With and Without the Myofascial Release on Forward Head and Forward Shoulder Deformity
Authors:   Department of Physical Education and Sports Science, Zanjan Branch, Islamic Azad University, Zanjan, Iran., Mousavi Seyyed Hosein , Minoonezhad Houman ,   Department of Health and Sport Medicine Department, Physical Education Faculty, University of Tehran, Tehran, Iran., Rajabi Reza ,   Department of Health and Sport Medicine Department, Physical Education Faculty, University of Tehran, Tehran, Iran., Seydi Foad ,   Department of Health and Sport Medicine Department, Physical Education Faculty, University of Tehran, Tehran, Iran.
Published: March 2022

Background and Aims: The purpose of the present research was to compare the effect and follow up of eight-week corrective exercises with and without the myofascial release forward head and forward shoulder deformity in young adults. Methods: A total of 45 male students suffering from abnormal forward head more than 46° and forward shoulder more than 52° deformity with the Mean±SD age of 22.12±2.88 years, height of 175.44±6.80 cm, and weight of 71.21±7.31 kg were selected and randomly distributed in three groups: corrective exercises, combinational exercises (corrective and myofascial release), and control. These groups performed the exercises for eight weeks under the direct observation of the researcher. Prior to starting the exercises, after the end of eighth week, and four weeks after the end of the exercises, the angles of the forward head and forward shoulder of the participants were measured using a photography method. Then, the collected data was analyzed using the variance analysis tests with repeated measurements and ANCOVA. Results: The results showed that the degree of forward head and forward shoulder after eight weeks of exercises in both training groups in post-test and follow-up test was significantly lower than those of the pretest. The ANCOVA test results also demonstrated that the forward shoulder degree in corrective exercises group with myofascial release in post-test and follow-up test was significantly lower than that of the corrective exercises (P≤0.05). However, the forward head degree did not show a significant difference between the intervention groups in post-test and follow-up tests (P≥0.05). Conclusion: According to the results, it can be stated that the corrective exercises program with myofascial release is more effective than the corrective exercises in correcting the forward shoulder deformity.
NILAI-NILAI PENDIDIKAN KARAKTER DALAM UPACARA RAMBU SOLO’ DI TANA TORAJA
Authors: Serdianus
Published: March 2022

Penelitian ini bertujuan untuk menemukan nilai-nilai pendidikan yang terdapat dalam budaya orang Toraja. Budaya Toraja penuh dengan nilai-nilai yang dapat diinterpretasi menjadi nilai-nilai pendidikan karakter. Salah satu bagian budaya Toraja yang dapat dijadikan sumber pendidikan karakter adalah upacara rambu solo’ (upacara kematian). Metode yang digunakan dalam penelitian tentang nilai-nilai pendidikan dalam budaya Toraja ini adalah metode penelitian pustaka. Adapun nilai-nilai pendidikan yang dapat dipelajari dari upacara rambu solo’ adalah gotong-royong, tolong-menolong, dan juga nilai religius yaitu adanya kehidupan setelah kematian.
ANALISIS TINGKAT PELAYANAN (LEVEL OF SERVICE) PEJALAN KAKI PADA RUAS JALAN DRAMAGA KOTA BOGOR
Authors: Amri Mega Khoirul , Wiyono Eko
Published: March 2022

As a result of the high volume of pedestrians around Dramaga Street, Bogor City (in the morning, afternoon, and evening) causing conflicts between pedestrians in the area. These conflicts occur both among pedestrians, and pedestrians with the motor vehicle. This research aims to analyze the pedestrian level of service (LOS), pedestrian characteristics, pedestrian facilities, and develop a pedestrian design applied to these roads. The method used in this study is a survey of pedestrian volume and direct observation of pedestrian characteristics, then analyzed based on the lever of service. The results show that the level of service on this section has LOS (level of service) A to LOS (level of service) B, with the sidewalk segment in front of Bogor Station having the lowest level of service. Based on individual characteristics, there are differences in the speed of each pedestrian. The analysis show facility segment in front of Bogor Station has the most shortcomings/at least according to the regulations. The development of the pedestrian path design follows the regulation of the Minister of Public Works No: 03/PRT/M/2014 and adapts it to the existing conditions.
El Nuevo Reino de Granada ante la Rebelión de Portugal de 1640
Authors: Miguel Córdoba Ochoa Luis
Published: March 2022

L'articolo analizza gli eventi che ebbero luogo a Cartagena de Indias il 4 febbraio 1641 quando si seppe che il 1 dicembre 1640 i portoghesi si erano ribellati a Filippo IV. Il nuovo monarca portoghese, João IV, si affrettò a inviare a Cartagena una nave con lettere apocrife attribuite a Filippo IV. In esse si chiedeva di restituire alle isole Azzorre la flotta portoghese che era ancorata in quel porto. Tuttavia, la frode delle lettere apocrife fu scoperta grazie alla fedeltà del generale portoghese Rodrigo Lobo da Silva a Filippo IV. Si studiano le reazioni alla notizia in quanto avrebbe influito sulla fornitura di schiavi africani essenziali per la produzione di oro. Si sostiene inoltre che la perdita del Portogallo diede luogo a richieste di nuove campagne di conquista in province note per la loro ricchezza aurifera, ma che non erano state sottomesse agli spagnoli.
Ageismo e psicologi: breve narrative review della letteratura
Authors: Maglie Rosita , Marin Claudia , Grattagliano Ignazio
Published: March 2022

Non sono molti gli studi e le ricerche sull'ageismo in Italia e limitate sono anche le casistiche. Eppure, l'aumento della popolazione anziana è un dato costante nel nostro paese, come in Europa e in tutto l'occidente industrialmente avanzato. Gli esperti di psicogeriatria, o coloro che tra gli psicologi scelgono di occuparsi a livello valutativo, clinico, assistenziale, trattamentale, terapeutico, di soggetti in età geriatrica, sono una netta minoranza, rispetto ad aree, bisogni, fasce di età, maggiormente frequentati dai professionisti della salute mentale (si pensi alla età evolutiva, all'adolescenza, o alla età adulta). Eppure, l'aumento notevole dei soggetti anziani comporta la presenza di bisogni di salute, anche e soprattutto psicologica, fino ad ora poco considerati e per questo i professionisti della salute e del benessere mentale sono chiamati a fare uno sforzo per riconoscerli e per poter poi calibrare i loro interventi clinici, assistenziali e terapeutici. L'ageismo, cioè il pregiudizio nei confronti di soggetti in età geriatrica, può caratterizzare anche gli operatori dell'area sociosanitaria, tra cui gli psicologi. Il presente lavoro fa parte di un progetto di ricerca molto più ampio, ancora in fase di implementazione, e vuole rappresentare un iniziale contributo di ricerca di letteratura sul tema ageismo e psicologi.
L'eredità di Raniero Panzieri. Una nuova cultura anticapitalistica
Authors: Stramaccioni Alberto
Published: March 2022

L'autore ricostruisce l'azione politica e l'elaborazione teorica compiuta da Raniero Panzieri (1921-1964) negli anni della modernizzazione economica e sociale del secondo dopoguerra al fine di individuare le principali tematiche che, sulla base di una consistente produzione memorialistica e di un altrettanto rilevante indagine storiografica, hanno costituito i riferimenti per una nuova cultura anticapitalistica alternativa a quella della sinistra storica. Il dirigente socialista-secondo l'autore- esprimendo forti critiche alle politiche del Pci e del Psi , considerate riformiste, propone di realizzare una nuova sinistra per una migliore efficacia nella difesa degli interessi dei lavoratori. In questa prospettiva ritiene che si debba superare il modello leninista nella gestione del partito per dar vita ad una struttura organizzativa realmente al servizio della classe operaia; intende poi affermare nuove forme di democrazia diretta contro la tradizionale mediazione sindacale e politico-parlamentare; sostiene inoltre di dover rileggere la teoria marxista oltre il dogmatismo storicista al fine di elaborare una nuova sociologia della classe operaia. Queste tematiche "secondo l'autore-non trovano consenso nell'area della sinistra storica ma alimentano l'azione politica di una nuova generazione di militanti attiva nel biennio ‘68-'69 e poi trovano spazio negli anni settanta e ottanta in molteplici riviste e gruppi politici e ancora oggi ,fuori da ogni anacronismo o analogia comparativa, possono comunque suscitare un qualche interesse difronte ai profondi mutamenti del sistema capitalistico indotti dal rapido progresso tecnologico.
Thermal characteristics of epoxy as a bonding material in a low temperature vessel
Authors: Kim Myung Su , Jeong Soo Yeol , Lee Gi Seong , Choi Yeon Suk
Published: March 2022

One of the main sources of heat leakage in a low temperature vessel is the thermal conduction of the vessel wall between room temperature and the low temperature. The material of the vessel is generally stainless-steel, and it is fabricated by welding. To reduce the amount of the thermal conduction, materials having low thermal conductivity are chosen. Glass fiber reinforced plastic (GFRP) is one of the adequate candidate materials because it has low thermal conductivity and high mechanical strength. We use GFRP pipe instead of stainless-steel pipe, as a neck in a liquid nitrogen vessel (or Dewar). Epoxy, as a bonding material, is inserted between the GFRP neck and the main body of the vessel. Therefore, the thermal characteristics, especially the thermal expansion, are very important because the vessel is cooled and warmed periodically. The experimental results of thermal expansion between room temperature and the low temperature are presented in the paper. Leakage in a vacuum environment is incurred because of different linear thermal expansion coefficients of various materials. The leakage is investigated using a vacuum-level checking method during the thermal cycle. In addition, the amount of boil-off in a low temperature vessel is discussed in terms of the thermal characteristics of the neck’s material.