bluuebunny/crossref_metadata_2025 huggingface dataset:
Implications of movement rehabilitation on the quality of life after brainsuses
Authors: Krajewski Piotr
Published: October 2022

Introduction: Quality of life is a broad term that covers all functional areas of a stroke patient. Quality of life is primarily determined by the consequences of brain damage, but also by other factors such as age, gender, body weight and time since the stroke. Stroke is the leading cause of disability in adults and the third leading cause of death. Because of its effects, it is one of the most serious diseases of the nervous system.
Most frequently affected are people who work in different social roles in their working environment. Worldwide, there are more than 55 million survivors of a stroke, half of whom have a significant impact on the continued functioning of daily life.
Material and methods : The data show that 100% of respondents have had a stroke, which means they are able to make more accurate statements about rehabilitation problems. Stroke occurred in up to one in 10% of respondents. between one and three years in 15%, between three and five years in 55% of the population studied. Over five years at 20%. The participants are people who have undergone rehabilitation shortly after a stroke and some have it to this day.
Results: According to the respondents in this study, the improvement in social role competence was very strong – 7%, large – 18%, medium – 44%, small – 18%, none – 13%. At the same time, it was found that rehabilitation restored the lost functions of everyday life to the interviewees with a high degree – 60%, average – 27%, low – 13%. Rehabilitation should be an integral part of the treatment in order to adapt to the needs of the patient. In order to achieve a significant improvement, it is important to carry out the therapy systematically and for longer. These measures are taken to restore maximum or full performance, but this is not always possible. Much depends on the age of the patient, the previous and current diseases, the changes after the stroke, and the frequency and duration of rehabilitation. In summary, stroke rehabilitation is very important – it not only protects life and reduces the risk of death, but also guarantees an improvement in the quality of life.
Conclusions: Research results clearly show that rehabilitation after a stroke is very important to restore health and well-being while increasing mobility at the same time. However, respondents differed from each other, which means that it is difficult to fully compare the results. Age, the consequences of a stroke and the time after rehabilitation after a stroke have certainly influenced this.
Effectiveness of learning complex motor activity and the model of manual dexterity in children aged 9-10 years
Authors: Matczak Dawid , Wieczorek Marta
Published: October 2022

Introduction
Learning is a complex and multi-dimensional process that depends on cognitive and emotional processes and the development of functional systems of the human body. One type of learning is motor learning. Its course and effects depend on many factors. One of the factors may be lateralization.  Differences between intellectual and motor learning tend to be blurred when learning a complex motor activity takes place.
Purpose
The cognitive aim of the study is to assessment of the effectiveness (speed, efficiency, durability) of learning complex motor activity in relation to the selected aspect of physical development (the model of manual dexterity) of a selected group of girls and boys.
Materials and methods:
The study was conducted among 73 children (44 boys and 29 girls) aged 9 - 10 years. Authors used the pedagogical experiment method and the research tool was the program for learning how to juggle three tennis balls. To assess the selected aspects of physical development we chose the direct categorized observation method. As research tools Authors used the Vienna Test System (VTS)
Results:
Most of the examined girls and boys were characterized by an established model of manualness.Subjects with a fixed model of manualness learned faster and more effectively than people with an undetermined model of manualness. The examined girls with a fixed model of manuality achieved more lasting learning outcomes than girls with an unspecified model. Such a relationship was not observed in the group of boys.
Conclusions:
Boys and girls who are characterized by a fixed model of handedness achieve a higher effectiveness of learning a complex motor activity.
ASSESSMENT CRITERIA FOR OPTIMAL SENSOR PLACEMENT FOR A STRUCTURAL HEALTH MONITORING SYSTEM
Authors: WANG TINGNA , WAGG DAVID J. , WORDEN KEITH , BARTHORPE ROBERT J.
Published: October 2022

Machine learning algorithms have been extensively used to implement structural health monitoring (SHM) systems to detect the occurrence of damage within a structure. To obtain the most effective data for SHM decision making, it is desirable to perform sensor placement optimisation (SPO), with a particular focus on damage identification. However, comparatively little attention has been paid to systematic assessment criteria appropriate to the design of a sensor system for SHM. This paper focusses on studying the evaluation criteria at different stages of a sensor-system design process, ranging from the measurement of linear associations to the detailed evaluation of the overall probability of correct classification. The effects of the investigated criteria are demonstrated using a physics-based model with uncertain parameters related to material proprieties. Predictions of the dynamic response of the structure in different states of interest are used to derive features.
ON NORMALISATION FOR DOMAIN ADAPTATION IN POPULATION-BASED STRUCTURAL HEALTH MONITORING
Authors: POOLE J. , GARDNER P. , DERVILIS N. , BULL L. , WORDEN K.
Published: October 2022

The practical application of structural health monitoring (SHM) is often limited by the unavailability of labelled data. Transfer learning - specifically in the form of domain adaptation – gives rise to the possibility of leveraging information from a population of physical or numerical structures, by inferring a mapping that aligns the feature spaces. There are a number of approaches to domain adaptation that minimise some distribution discrepancy metric. However, it is found that under high initial distribution discrepancy, these methods may be prone to performance degradation. In this paper, guided normalisation is proposed as a solution to the initial distribution discrepancy problem. Several case studies demonstrate how normalisation can itself perform powerful adaptation and facilitate further adaptation, with more sophisticated domain adaptation methods.
A STATE-PARAMETER ESTIMATION IN TWO ENGINEERING DOMAINS: AN EXTENDED KALMAN FILTER APPROACH
Authors: COT LÉA , DEJEAN SÉBASTIEN , SAUDEJAUD CAROLE
Published: October 2022

This paper intends to present a synthesis of works based on the study of the behavior of the Kalman filters in two different domains. The first area is dedicated to the flocculation process occurring in water treatment. The second one covers aircraft structural damage based on SHM approach. The general methodology consists in modeling a state-parameter observer to perform estimations using the joint EKF. The robustness and efficiency of the Kalman filters is addressed in order to allow a cross-fertilization in the two area. Model propagation and accurate prognostics are therefore allowed due to the improvement of model parameter knowledge. In the context of the flocculation, the prediction of the time evolution of the characteristic diameters is much more efficient than QMOM. For fatigue damage prognostic, the best initial conditions leading to accurate estimation are highlighted according to materials. Whatever the problem is, the estimation error magnitude is known.
CORROSION PROGNOSTICS FOR OFFSHORE WIND- TURBINE STRUCTURES USING BAYESIAN FILTERING WITH BI-MODAL AND LINEAR DEGRADATION MODELS
Authors: BRIJDER ROBERT , HELSEN STIJN , OMPUSUNGGU AGUSMIAN PARTOGI
Published: October 2022

New offshore wind farms are often operating far from the shore and under challenging operating conditions, making manual on-site inspections expensive. Therefore, there is a growing need for remote condition monitoring and prognostics systems for such offshore wind farms. In this paper, we focus on corrosion prognosis since corrosion is a major failure mode of offshore wind turbine structures. In particular, we propose two algorithms for corrosion prognosis by employing Bayesian filtering techniques, one is based on linear degradation and another is based on a bi-modal corrosion model. Due to distinct characteristics of the two degradation models, different Bayesian filtering implementations are therefore required. Although the degradation model of the latter method more accurately reflects the ground truth, we find that the former prognosis method is computationally more efficient and likely more robust against various noise sources.
RESEARCH ON MODEL UPDATING METHOD OF HIGH- SPEED MAGLEV GUIDEWAY BASED ON WAVELET TRANSFORM AND OPTIMIZATION ALGORITHM
Authors: FANG ZHIHONG , HUANG JINGYU , WANG XIAONONG , ZHAO LIANG , WANG SHUOWEI , ZHANG ZIYANG , LI DEXIANG
Published: October 2022

Because the maglev guideway is a vital infrastructure of high-speed maglev train, it is of great significance for the guideway structure to analyze dynamic response and assess structural health of the guideway in research. This paper proposed a model updating method of the high-speed maglev guideway based on wavelet transform(WT) and optimization algorithm, which are used to analyze the dynamic response and assess health. Taking the 600 km/h high-speed maglev test vehicle as the excitation, the field test was carried out on the High-speed Maglev Test Line. The measured dynamic responses of the guideway were obtained, and the measured modal parameters were identified by WT. The finite element(FE) model of guideway was established, considering the elastic boundary conditions and material properties, and the initial modal parameters of the guideway were obtained. Based on the FE model, the response surface model of the guideway was constructed and the objective function of the simulated modal parameters and the measured modal parameters was established. Considering the constraint conditions, the optimal solution of the objective function was found by the optimization algorithm, and the elastic boundary conditions and material properties of the FE model were optimized and updated. The research results indicated that the dynamic response of the updated FE model was highly correlated with the measured dynamic response and proved strongly the effectiveness of the proposed method. A more accurate model updating method for the dynamic response analysis and health assessment of the high-speed maglev guideway was provided by this paper.
APPLICATION OF A HIGH-SPEED NON-CONTACT ULTRASONIC TECHNIQUE COUPLED WITH STATISTICAL DATA REDUNDANCY FOR RAIL INSPECTION
Authors: DATTA DIPTOJIT , CUI RANTING , BATISTA IZABELA , SCALEA FRANCESCO LANZA DI
Published: October 2022

This paper presents a high-speed non-contact rail inspection technique that has been tested on the field at speeds up to 80 mph. The technique utilizes an array of capacitive air-coupled ultrasonic transducers in continuous recording mode to extract a reconstructed transfer function for a rail segment in a passive manner. The passive approach utilizes the ambient excitation of the rail induced by the wheels of the test car and eliminates the need of a controlled source. A normalized cross correlation operator with modified Welch’s periodogram technique is used to extract the transfer function which is independent of the frequency spectrum of the random excitation source (wheels). Presence of discontinuities in the rail reduces the signal-to-noise ratio of the reconstructed transfer function which is statistically tracked using an outlier analysis for multiple reconstructions along the inspected rail. Data from multiple transducer pairs are compounded in the statistical outlier analysis which ensures removal of bias from the data. An adaptive baseline model from pristine rail is used to compute a parameter called the Damage Index (DI) to determine if the probed rail segment has a discontinuity. Raw ultrasonic signals comprising of thousands of data points for a given recording time within a rail segment are therefore compressed statistically into a single DI parameter. Full-scale field tests were carried out at testing speeds of up to 80 mph. Discontinuity detection performance in terms of identifying joints, welds and known transverse defects through Receiver Operating Characteristic (ROC) curves were studied for a range of varying operational parameters such as raw signal strength, baseline length, and testing speeds. Data from multiple passes of the train over the same rail segment were compounded to further introduce redundancies and increase the rate of true detections and reduce the rate of false alarms.
SIMULATION OF GUIDED WAVES FOR STRUCTURAL HEALTH MONITORING USING PHYSICS-INFORMED NEURAL NETWORKS
Authors: RAUTELA MAHINDRA , RAUT MANISH , GOPALAKRISHNAN S.
Published: October 2022

Guided wave propagation is a valuable and reliable technique for structural health monitoring (SHM) of aerospace structures. Along with its higher sensitivity towards small damages, it offers advantages in traveling long distances with minimum attenuation. Simulation of guided wave propagation is essential to understand wave behavior, and calculating the dispersion relations forms an integral part of the procedure. Application of the current numerical techniques for complex media is highly involved and faces issues related to accuracy, stability, and computational resources. Development in the field of machine learning and graphical processing units (GPUs) leads to the implementation of a faster, automated, and scalable deep neural networks-based learning approach for such problems. Most of the implementation in the field is based on data collection and uses neural networks for nonlinear mapping from input space to target space. However, a large amount of prior information in the form of a governing differential equation is not utilized. In this paper, we have used Physics-Informed Neural Networks (PINNs), in which neural networks are utilized to solve governing partial differential equations. PINNs are implemented to obtain the solution of a one-dimensional wave equation with Dirichlet boundary conditions. The exact solutions and predicted responses match closely with lower mean square error in limited computational time. We have also conducted a detailed comparison of the effect of neural architecture on the mean square error and the training time. This study shows the merit of deep neural networks leveraging the available physical information to simulate the wave phenomenon for SHM efficiently.
How to improve uptake of childhood immunisations
Authors: Meadows Lorraine
Published: October 2022

Primary care has a key role to play in providing the childhood vaccination programme in the UK. There are several challenges facing primary care when delivering the childhood immunisation programme including vaccine concerns from parents, competing priorities and staffing. This article provides some key practical tips to help address these challenges and improve immunisation uptake.
Social Opportunities or Barriers to Metacognition: A Case Study of Social Factors for Pre-Service Teachers’ Metacognition
Authors: Ozturk Nesrin
Published: October 2022

This mixed method case study examined potential influences of social agents or immediate environments on individuals’ metacognition. Via quantitative methodologies, 122 pre-service teachers’ metacognition was measured by the Turkish Metacognitive Awareness Inventory, and metacognitive components did not show any variations across majors, locations of previous studies, the highest degree of education in the family, frequently communicated friends, and regions. Regression analyses revealed that friends were a significant predictor for metacognition. Also, focus group interviews were analyzed thematically via deductive codes regarding the theory of metacognition. Findings confirmed that friends may support individual metacognition at all levels, metacognitive knowledge, regulation, and experiences through cooperation, modeling, reflections, discussions, feedback, and peer evaluation. Pre-service teachers’ engagement on the social media may also support their regulatory strategies due to models’ task performances or by their reflecting upon those performances. Teachers and family may support metacognitive knowledge, specifically career goals via expectations, anecdotes, and experiences. On the other hand, schools and the Turkish culture may impose some limitations on the youth, and they may engage in reflection and self-questioning to manoeuvre negative experiences or conflicts. Thereby, cross-national and longitudinal studies are highly suggested to explicate the social foundations of metacognition.
Extended School Placement in Initial Teacher Education: Factors Impacting Professional Learning, Agency and Sense of Belonging
Authors: Hanly Cathal , Heinz Manuela
Published: October 2022

School placement plays a critical and complex role in student teacher development as well as in their professional dispositions and career attitudes. It is where theory and practice meet, teaching skills are developed, professional relationships formed and future careers envisioned. This mixed methods study explores student teachers’ experiences with and perspectives about new models of extended school placements developed in Ireland following significant policy and programme reform. Data was collected through interviews and questionnaires with one of the first cohorts to experience a reconceptualised initial teacher education programme, including extended school placement periods in a variety of school settings. This paper will explore student teachers’ perspectives regarding the value of the extended placement and factors influencing their professional learning, agency and sense of belonging. Overall, our findings confirm the pedagogical benefits of the extended placement in two different school settings for student teachers’ professional learning. However, they also highlight how a number of factors, including the existence (or absence) of school support structures, school culture, peer networks, paid or unpaid additional workload and financial pressures impacted on student teachers’ capabilities to develop their skills and professional agency, their sense of belonging and, in some cases, their physical and mental health.
Sums of orthogonal, symmetric, and skew-symmetric matrices
Authors: De la Cruz Ralph John , Paras Agnes T.
Published: October 2022

An $n$-by-$n$ matrix $A$ is called symmetric, skew-symmetric, and orthogonal if $A^T=A$, $A^T=-A$, and $A^T=A^{-1}$, respectively. We give necessary and sufficient conditions on a complex matrix $A$ so that it is a sum of type ``"orthogonal $+$ symmetric" in terms of the Jordan form of $A-A^T$. We also give necessary and sufficient conditions on a complex matrix $A$ so that it is a sum of type "orthogonal $+$ skew-symmetric" in terms of the Jordan form of $A+A^T$.
Relationships and reciprocity in learning: a Palestine field trip for social work and youth and community students
Authors: Lucas Steven , Thompson Kellie , Ramsey Tracy
Published: October 2022

For over ten years now, social work and youth and community students from a university in England have travelled to Palestine to be hosted by families and conduct a study tour of the West Bank. They have visited governors in the West Bank, community centres, camp committees, art centres, social work agencies, museums and faith and political heritage sites across the West Bank and Jerusalem. This article reports on the reciprocity between host families and university staff in addressing student learning for social justice in a community that seeks international recognition and action in respect of the injustices of an illegal occupation. We argue that the goals of the host community in respect of extending their voice and reaching a constituency beyond their borders are compatible with experiential learning goals for students in developing political and cultural awareness through engaging with community experiences of responses to social injustice.
Taking fun seriously in envisioning sustainable consumption
Authors: Wilk Richard
Published: October 2022

Ultimately, consumption drives the global economy and high levels of consumption among the wealthiest fraction of the population are responsible for a disproportionate amount of carbon emissions. Many experiences that motivate overconsumption include the pursuit of fun, a term that cuts across other conventional categories like pleasure, entertainment, leisure and play. This article surveys the scattered literature on fun and finds the concept useful in framing issues of overconsumption. Consumer capitalism is constantly finding and marketing new ways of having fun. I suggest that we should carefully assess the potential of particular kinds of fun to increase or reduce carbon emissions and use social and policy measures to discourage one and promote the other.
Navigating and Combating “Digital Information Minefields” in our Era of Digital Deceit
Authors: Black Joanna
Published: October 2022

In our post-truth era, it is becoming increasingly difficult for people to deal with fake news, artificial intelligence, increasing algorithms, Internet censorship, and resulting manipulation of digital users. Social media usage and digital technologies are utilized not only in people’s daily lives, but also in educational contexts. In this perplexing political and corporate landscape, a university Education Librarian and Education Professor working in a Faculty of Education have teamed together to examine ways to address this minefield in their case study research involving ninety-one students. Outlined is a collaborative, responsive, pedagogical approach in which critical research skills and educational curricula are delineated and related to creative and participatory educational practices. An emphasis is placed on arts-based inquiry and student imaginative collaboration. This pedagogy enables students to become more critical consumers and skilled producers of knowledge, facilitating student research and communication of well-developed ideas within their own digital and teaching lives.
Evaluation of antibacterial activity of black and green tea kombucha
Authors: Barbosa Cosme Damião , Rodrigues Santos Wildon César , Da Costa Elaine Crista , Costa Isabella Maciel , Alvarenga Verônica Ortiz , Lacerda Inayara Alves Cristina
Published: October 2022

Currently, the search for natural antimicrobial agents has increased. Thereat, plant extracts, products of fermentative processes, and microbial growth have been tested. Kombucha is a fermented beverage that resulted from the fermentation of the infusion of Camellia sinensis. There are reports about biological activities, such as anti-inflammatory, digestibility, antioxidant, antimicrobial, and others. The study aimed to evaluate the antibacterial activity of black and green tea kombucha against eight foodborne pathogenic microorganisms. The antibacterial activity was analyzed using the agar well diffusion method. Each kombucha consisted of three treatments: natural, neutralized, and filtered. The solutions of acetic acid (4% v.v-1) and kanamycin (30 µg.L-1) were used as a control. The black and green tea kombucha beverages, not neutralized, showed antibacterial activity against Escherichia coli serotypes. Black and green tea kombucha did not show antibacterial activity against Staphylococcus aureus, Shigella Flexneri, and Salmonella Typhimurium. The inhibition may be attributed to acetic acid production during the fermentation process. Therefore, it appears that kombucha may have a potential antimicrobial agent.
Keywords: Camellia sinensis, fermentation, antimicrobial.
Landscape tree species recognition using RedEdge-MX: Suitability analysis of two different texture extraction forms under MLC and RF supervision
Authors: Liu Huaipeng , Su Xiaoyan , Zhang Chuancai , An Huijun
Published: October 2022

The size of the texture extraction window impacts image tree species classification, and the determination of the optimal texture extraction window requires the supervision of a specific classifier for accuracy. Therefore, it is necessary to analyse which kind of classifier is more suitable and should be to choose. In this study, we extracted eight types of textures, namely mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment and correlation, changed the window size by gradient increase and used maximum likelihood classification (MLC) and random forest (RF) to supervise and determine their optimal extraction windows, respectively. Finally, the optimised time consumption and classification accuracy for tree species classification was identified. The time consumption of MLC was significantly less than that of RF; however, neither was very long; for most textures, the optimal texture extraction window determined by MLC supervision was larger than that determined by RF supervision; in the classification of most feature sets, the overall accuracy obtained by MLC was less than that of RF. Because the time consumption of the texture extraction was much greater than that of the image classification, the comprehensive trade-off indicates that using RF supervision to determine the optimal window for texture extraction was more conducive to tree species recognition.
Forms of land access in the sugarcane agroindustry: A comparison of Brazilian and Peruvian cases
Authors: de Almeida Patrícia José , Salinas Carlos T. , Ramos Lucas , de Carvalho Celso Albano
Published: October 2022

Currently, many sugarcane mills face the challenge of obtaining sufficient raw material. This work analyzes and compares the land access forms to cane production in Brazil (big producer) and Peru (small producer). Data from Agricultural Censuses of the two countries are used. In the analyzed period, there was an increase in sugarcane production in both countries. It is observed that in Brazil, the tendency is for sugar mills to use land leasing or sharecropping contracts. In Peru, new sugarcane mills mainly use their own land. The access to land through agrarian contracts can be a factor of sustainability of the sugarcane agribusiness.
Buildings on Paper
Authors: Luengo Pedro
Published: October 2022

The transmission of European engravings to China had significant artistic consequences during the eighteenth century, at a key moment in the development of relations between the Chinese emperor and the pope. In Buildings on Paper: A 1713 Inventory of European Engravings for the Chinese Emperor, Pedro Luengo analyzes a previously unknown collection of architectural and artistic books inventoried in 1713 in connection with the papal legation of Cardinal Charles-Thomas Maillard de Tournon (1668–1710). The sources in the inventory contrast with those preserved by the Jesuits in Beijing, until now regarded as the only references for European artistic and architectural influence in the Chinese capital. Luengo evaluates the engravings and books listed in the 1713 inventory in terms of their impact on art and architecture in China, especially in the construction of palaces in the capital.
Recontructing the Formation of Israel's Religion in the context of Old Testament Biblical Text
Authors: Susila Tirta , Risvan Latupeirissa
Published: October 2022

The Old Testament can be said to be an interpretation of life and beliefs at that time and period, namely in the world and beliefs of ancient Israel. In addition, the Old Testament is often considered the primary source for the history of religion and worship of ancient Israel. In the Old Testament found a presentation and description of the history of the ancestors of Israel as a nation until they entered the land of Canaan, and so on. This paper aims to reconstruct the history of Israel's religion in the context of the Old Testament world. To achieve this goal, the researcher uses a literature approach by analyzing the occurrence of the Old Testament canon, the context of the Old Testament, the history of the Israelites, and Israel's religion. The results of this study conclude that the religion of Israel occurred through the development process of the religious system that existed at that time. The claim that Israel's religion was imported from outside, then came into conflict with the Canaanite religious system basically has no religious historical basis. The emergence of varieties of monotheism that occurred in Israel around the 2nd century BC as recorded by Josephus was the culmination of an inclusive form of monotheism which gradually developed into exclusive monotheism during the Hellenistic period. This indicates that Israel's religious system in the era of the first temple was not monotheistic, but polytheistic which in practice often took the form of henotheism and monolatry. This research is expected to contribute to the study of theological topics, especially in the study of the formation of the nation and religion of Israel.
Concept of Monotheism in Isaiah 45 as a Basic Alternative to Addressing the Reality of Religious Plurality in Indonesia
Authors: Sembiring Novita Sari , Koan Cindy Quartyamina , Rungkat Merry Kristina
Published: October 2022

Religious plurality is an unavoidable reality in Indonesia. This research seeks to explain the attitudes that Christians may embrace in responding to the reality of religious plurality in Indonesia. The alternatives to the study are based on the implications of Isaiah 45, which is part of the Christian Bible. Researchers looked at the characteristics of Isaiah 45 and the concept of monotheism to get the implications of the concept of monotheism in Isaiah 45 for alternatives to Indonesian Christians. This type of research is qualitative descriptive research with the use of hermeneutic methods and socio-historical approaches. Researchers conduct a literature study of sources related to the research topic. The results explain that the implications of the concept of monotheism in Isaiah 45 show that Yahweh, who is God, is not exclusive in relationships with mankind. Based on the implications of the concept of monotheism in Isaiah 45, Christians can choose transformative inclusive attitudes in establishing relations with other religious people.
Christian Faith in Creation for Environmental Ethics and Climate Protection
Authors: Körtner Ulrich H.J.
Published: October 2022

The paper examines the practical consequences of Christian faith in creation for environmental ethics and climate protection. Both are interpreted as a practical form of faith in creation, distinguishing between faith in creation and reflected theology of creation. Methodologically, the article proceeds by interpreting classical statements of the Bible and the Christian tradition in light of modern insights. The article pays special attention to the conversation between creation theology and modern evolutionary theory. In this context, the problem of theodicy is posed in a new way. The author criticizes tendencies to reduce the faith in creation to ethics. In the Christian tradition, he interprets faith in God as a form of courage based on presuppositions that are not absorbed in anthropology and ethics. Christian faith does not produce, but proclaims a meaning of life and of the world, which can come to both only from God and will endure even in view of the possible self-destruction of mankind. This conviction has ethical implications and consequences for a realistic commitment to environmental protection. On the one hand it is motivating, on the other hand it is critical of an apocalyptic view of the world and its consequences.
Molecular Docking Mediated Virtual Drug Screening for GABAA Receptor: Promising Digoxin Derivatives
Authors: PORTAKAL Hüseyin Saygın
Published: October 2022

In the central nervous system (CNS) of mammalian species, ℽ-aminobutyric acid (GABA) is the primary inhibitory neurotransmitter due to it regulates neuronal development through leading neural differentiation, proliferation, migration, etc. GABAA receptor is the major GABA receptor since it has the highest expression level among the other GABA receptors within CNS. Many pieces of evidence prove that the defects in the GABAergic pathway might give rise to serious diseases such as schizophrenia, epilepsy, anxiety, depression, insomnia, etc. In this study drug library with a totally of 8170 ligands consists of three distinct datasets which are FDA-approved Drugs, Drugs Approved by World but not FDA, and Non-human Metabolites have been screened for the allosteric site of the GABAA receptor with PyRx Virtual Screening Tool and ligand-receptor interactions have been analyzed with Biovia Discovery Studio software. Results reveal that Digoxin and its two distinct derivatives (DD1 and DD2), as well as Conivaptan, are promising in the treatment of GABAergic pathway-based disorders. The findings of this report should be verified with further molecular dynamics (MD) simulations and the ligands should be tested by both in vitro and in vivo studies.
Caracterización del feminicidio en Manizales entre los años 2008 – 2017
Authors: Gomez Arias Fabian , De la Portilla Sonia
Published: October 2022

Feminicidio es el homicidio de mujeres por su condición de ser mujer, es la consecuencia más severa de la violencia de género, a nivel mundial hasta pocos años era un fenómeno ignorado, minimizado e invisiblilizado.  Pero, debido a los actuales   cambios   sociales, al   empoderamiento de la mujer tanto en el plano individual como colectivo, con   nuevas legislaciones   que protegen de manera   prioritaria   los   derechos humanos, con énfasis en la violencia de género; el feminicidio como delito ha logrado mayor visibilización, vigilancia   extrema   y respuestas inmediatas de la sociedad.

En Manizales, existe un vacío de conocimiento acerca de ¿cuál es la prevalencia   del delito de feminicidio en los últimos 10 años y que factores lo caracterizan?  La investigación tiene por objetivo caracterizar el feminicidio en Manizales entre 2008 – 2017.

La investigación es de tipo descriptiva, la población asciende a 187 mujeres que han sido víctimas de muerte violenta en hechos ocurridos en el municipio   Manizales – Colombia y la muestra seleccionada fueron 43 mujeres víctimas de homicidio cuyas características enmarcan dentro del concepto de feminicidio.
Impactos trabalhistas e tributários da Lei n.º 14.020/2020 em meio à Covid-19
Authors: Moreira Ana Beatriz Fernandes , Souza Jackeline Lucas , Guedes Francisca Yasmin de Aguiar
Published: October 2022

A pesquisa tem como objetivo mensurar os custos trabalhistas e os impactos tributários oriundos da Lei n.º 14.020, de 6 julho de 2020 (decorrente da conversão da Medida Provisória n.º 936, de 1º de abril de 2020), que instituiu o Programa Emergencial de Manutenção do Emprego e da Renda (relançado pela Medida Provisória n.º 1.045, de 27 de abril de 2021), nos agentes: governo, empresa e empregados. Foi realizado um estudo de caso com uma indústria têxtil, segregando as variáveis impactadas com a adoção da lei quanto a ônus e bônus e quanto a custos trabalhistas e impactos tributários para os sujeitos envolvidos. O bônus de capital de giro mensal da empresa, objeto deste estudo, da redução de jornada de 25% à suspensão dos contratos, variou, respectivamente, entre 43,1 e 132,7 mil reais, à contrapartida de ônus entre 41,5 e 110,3 mil reais no governo e entre 3,4 e 28,2 mil reais nos funcionários. A opção pela suspensão, em abril e maio, gerou economia de 265,5 mil reais e preservou 97,7% dos seus empregos. O estudo serve como modelo de aplicação das opções geradas pelo poder público em contingências que afetam o mercado de trabalho, contribuindo para a literatura como diagnóstico dos efeitos dessas ações.
Demografik fırsat penceresi veya demografik kriz penceresi: Coğrafi bir analiz
Authors: CAN Burhan
Published: October 2022

Demografik geçiş sürecini yaşayan toplumlarda doğurganlıkta görülen düşüş, toplam nüfus içindeçocukların orantısal olarak azalmasını sağlar. Diğer yandan, geçiş süreci henüz tamamlanmadığıiçin, yaşlı nüfusun toplam nüfus içindeki payında ciddi bir artış da görülmez. Çocuk ve yaşlı nüfusunazalmasıyla, çalışma çağındaki nüfus artar. Bu durum, iktisadi kalkınma için bir fırsat sunduğundanbu özel döneme literatürde “Demografik Fırsat Penceresi” denilir. Dönem, bazı çalışmalarda“Demografik Armağan” yahut “Demografik Bonus” şeklinde de nitelendirilmektedir. “DemografikFırsat Penceresi” dönemi, günümüz koşullarında nüfus yaşlanması ile sona erer. Nitekim nüfusun%15’i, 65 ve üzeri yaşta ise toplum yaşlanmış olur. Fırsat penceresi dönemi geçicidir. Dolayısıylabu dönemde daha fazla istihdam yaratılması ve kaynakların daha rasyonel kullanılması önem taşır.Nitekim Japonya’nın 1960’lardan, diğer Doğu Asya ülkelerinin 1970’lerden sonra yaşadıkları ekonomikbüyüme, demografik fırsat penceresiyle ilişkilendirilir. Bu fırsat değerlendirilemediği takdirdesüreç ‘demografik kriz penceresi’ne dönüşebilir. Demografik kriz penceresi; çalışma çağını kapsayan15-64 yaş grubunun en yüksek orana ulaşması ile ortaya çıkan özel dönemde, bu grubun verimlikullanılamaması sebebiyle oluşan ulusal yoksullaşma, toplumsal kargaşa ve çatışma sürecidir. Ortayaçıkmasının altında yatan husus, işgücü arzındaki yüksek artışa işgücü talebinin karşılık verememesidir.Çünkü düşük istihdamın ve bunun olumsuz etkilerinin, hem ekonomik hem de sosyalalanda kendini göstereceği açıktır. Bu kavram, demografik fırsat penceresinin karşıtıdır. Brezilya,Venezuela, Tunus gibi ülkelerde açılan pencere; demografik fırsat penceresi değil, demografik krizpenceresidir. Bu ülkelerin bazılarında ciddi kargaşalar ve çatışmalar yaşanmış; bazılarında ise siyasaliktidarlar devrilmiştir. Çalışmanın amacı, demografik kriz penceresinin oluşum süreçlerini tarihselve karşılaştırmalı örneklerle ortaya koyup literatüre sokmaktır. Bu çalışmada, Türkiye İstatistikKurumu (TÜİK), Türkiye Cumhuriyet Merkez Bankası (TCMB), Aile ve Sosyal Hizmetler Bakanlığı, Hazineve Maliye Bakanlığı’ndan oluşan ulusal ve Birleşmiş Milletler (BM), Dünya Sağlık Örgütü (DSÖ),Dünya Bankası, Organisation for Economic Co-operation and Development (OECD), InternationalLabour Organization’dan (ILO) oluşan uluslararası kurumlardan derlenen kantitatif veriler analizedilerek Tunus ve Brezilya gibi ülkelerde sürecin demografik kriz penceresi şeklinde yaşandığı belirlenmiştir.Sürecin, Türkiye için de demografik kriz penceresine evrilmekte olduğu birtakım tablove grafiklerle ortaya konulmuştur.
Mekânsal otokorelasyon ve kümeleme analizi yaklaşımı ile Göksu Çayı Havzası’nın (Sakarya Nehri Havzası) bütünleşik ve sürdürülebilir havza yönetim modeli
Authors: UZUN Murat , GARİPAĞAOĞLU Nuriye
Published: October 2022

Doğal ve beşeri ortam koşullarının yoğun etkileşim halinde olduğu havzalarda birçok kapsamdaçeşitli modellerle yönetim çalışmaları uygulanmaktadır. Bu araştırmanın amacı, coğrafi çeşitliliği,etkileşimleri ve potansiyel riskleri barındıran Göksu Çayı Havzası’nın farklı değişkenler üzerindenmekânsal otokorelasyon ve kümeleme analizine dayalı havza yönetim modelinin oluşturulmasıdır.Coğrafi Bilgi Sistemlerinin (CBS) etkin kullanıldığı çalışmada, deterministik, kantitatif,korelasyon ve dağılış analizi yöntemleriyle çok basamaklı sistematik oluşturulmuştur. Havzanınbütün coğrafi unsurlarını, etkileşimleri, doğal dinamik işleyiş yapısını ortaya koymak ve ilişkiselolarak kümelenme dağılışını oluşturmak için birçok parametrenin analizleri ile dört ana değişken(alt model) üretilmiştir. Ana değişkenler, jeomorfolojik uygunluk-elverişlilik, yağış akış, çoklu-riskve arazi kullanım modellerinden oluşur. Her bir model karşılıklı olarak mekansal korelasyona tabitutulmuş ve havzanın kümeleme analizi dağılış verisi üretilmiştir. Beş farklı kümenin tespit edildiğiveri, sorun-risk potansiyeli ve sürdürülebilir-uygun kullanım potansiyeli açısından da analizedilmiştir. Daha sonra dağılış verisi, Lokal Moran’s I-Anselin testi ve Getis-Ord Gİ istatistiği ile anlamlılıkve kümelenme açısından test edilmiştir. Analizlerden, havzanın yüksek çerçevesini oluşturansahaların sürdürülebilir-uygun kullanım potansiyeline sahip kümelenme gösterdiği, İnegölOvası, Yenişehir kuzeyi ve Göksu Vadisi’nde sorun-risk potansiyeli yüksek kümelenmenin olduğutespit edilmiştir. Havzada sürdürülebilirliğin sağlanması için, ekolojik sahaların korunması, sel,taşkın, erozyon, heyelan tedbirlerin arttırılması, akarsulardaki su kalitesinin kontrol edilmesi veantropojenik baskı yoğunlaşmasının daha uygun alanlara yönlendirilmesi gerekmektedir.
Viral-mediated short-hairpin RNA knockdown v1
Authors: Chen Chuyu
Published: October 2022

Stereotaxic injection of viral vectors for gene knockdown experiments : The AAV vectors for knocking down the gene of interest were custom-made with Vector Biolabs using AAV-GFP-U6 vector for AAV1 packaging (Cat no, 7040, Vector Biolabs). They were then unilaterally injected into the striatum of mice as follows.
Turkey's Growing Role as a Security Actor in Somalia: Dynamics and Motivations
Authors: SİRADAG Abdurrahim
Published: October 2022

Somalia has a special place in the foreign policy of the Justice and Development Party (AK Party), which has been in power since November 2002. Turkey's relations with Somalia started to develop after the official visit of Turkish President Recep Tayyip Erdogan to Somalia on 19 August 2011, who was the prime minister at that time, to support Somalis affected by severe drought and civil war. After 2011, Turkey launched one of the largest humanitarian aid campaigns to Somalia. Turkey has not only developed a soft power policy in Somalia but also started to implement a hard power policy. In this respect, Turkey has been training hundreds of Somali soldiers and police in both Ankara and Mogadishu since 2012. At the same time, Turkey opened its largest military base abroad in Somalia in 2017. This research explores the reasons and dynamics behind Turkey's deepening of its security policy in Somalia and sheds light on what Turkey's security policy means for Somalia. The research argues that there is a combination of factors driving Turkey's security policy towards Somalia, including socio-cultural, economic, and geopolitical. This study examines Turkey's security policy with a holistic approach, using conceptual and theoretical perspectives.
Some remarks on an 18th century text and its fragmentary modern edition – Pildele filosofești [Philosophical Parables] (1713)
Authors: Celac Victor
Published: October 2022

In this article I will approach and try to clarify an unusual spelling (sumparao) which occurs in a text from the beginning of the 18th century, attributed to Antim Ivireanul. It is the question of a Romanian translation, made after an intermediate Greek version, of a distant French original. At the same time, I will point out some questionable (or more than questionable) spellings, from a fragmentary modern edition of the respective text, published by Alexandru Duțu in 1968 (ciocotințește for ciocotnițește; ciocotinția for ciocotniția; împărteșuțează for împărteșugează; roscoasă for roscoașă; scutelește for șutelește). I will also point out some unusual, rare lexical units, some of them representing antedatings compared to the oldest attestations registered in the reference works in the field (deletnicie; însoțime; răsfățăciune; soțiime). In so doing, I will propose certain semantic and/or etymological clarifications.
Revealing the Feature Influence in HTTP Botnet Detection
Authors: Mohd Saudi Nur Hidayah , Rudy Fadhlee M. D, Wan Ahmad Ramzi W. Y Faizal M. A, Siti Rahayu Selamat,
Published: October 2022

Botnet are identified as one of most emerging threats due to Cybercriminals work diligently to make most of the part of the users’ network of computers as their target. In conjunction to that, many researchers has conduct a lot of study regarding on the botnets and ways to detect botnet in network traffic. Most of them only used the feature inside the system without mentioning the feature influence in botnet detection. Selecting a significant feature are important in botnet detection as it can increase the accuracy of detection. Besides, existing research focusses more on the technique of recognition rather than uncovering the purpose behind the selection. Therefore, this paper will reveal the influence feature in botnet detection using statistical method. The result obtained showed the accuracy is about 91% which is approximately acceptable to use the influence feature in detecting botnet activity.
Digital Copyright Protection: Focus on Some Relevant Solutions
Authors: Frattolillo Franco
Published: October 2022

Copyright protection of digital content is considered a relevant problem of the current Internet since content digitalization and high performance interconnection networks have greatly increased the possibilities to reproduce and distribute digital content. Digital Rights Management (DRM) systems try to prevent the inappropriate or illegal use of copyrighted digital content. They are promoted by the major global media players, but they are also perceived as proprietary solutions that give rise to classic problems of privacy and fair use. On the other hand, watermarking protocols have become a possible solution to the problem of copyright protection. They have evolved during the last decade, and interesting proposals have been designed. This paper first presents current trends concerning the most significant solutions to the problem of copyright protection based on DRM systems and then focuses on the most promising approaches in the field of watermarking protocols. In this regard, the examined protocols are discussed in order to individuate which of them can better represent the right trade-off between opposite goals, such as, for example, security and easy of use, so as to prove that it is possible to implement open solutions compatible with the current web context without resorting to proprietary architectures or impairing the protection of copyrighted digital content.
Discrete R-Contiguous bit Matching mechanism appropriateness for anomaly detection in Wireless Sensor Networks
Authors: Zeeshan Muhammad , Javed Huma , Ullah Sifat
Published: October 2022

Resource exhaustion is one of the main challenges for the security of Wireless Sensor Networks (WSNs). The challenge can be addressed by using algorithms that are light weighted. In this paper use of light-weighted R-Contiguous Bit matching for attack detection in WSNs has been evaluated. Use of R-Contiguous bit matching in Negative Selection Algorithm (NSA) has improved the performance of anomaly detection resulting in low false positive, false negative and high detection rates. The proposed model has been tested against some of the attacks. The high detection rate has proved the appropriateness of R-Contiguous bit matching mechanism for anomaly detection in WSNs.
Overhead in Available Bandwidth Estimation Tools: Evaluation and Analysis
Authors: Salcedo Dixon , Guerrero Cesar , Guérrero Julian
Published: October 2022

The current Available Bandwidth Estimation Tools (ABET's) to perform an estimation, using probes packets are inserted into the network. The utilization These packages, makes ABET's are intrusive and consumes part of which is measuring bandwidth to noise known as "Overhead Estimation Tools" (OET); it’s can produce negative effects on measurements performed by the ABET. This paper presents a complete and comparative analysis of behavior of Available Bandwidth (av_bw), of the ABET's most representative, as well as: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo and Wbest. The study with real Internet traffic, shows the percentage of test that is a factor packets affecting two main aspects of the estimation. The first, the accuracy, and increased indicating that EOT is directly proportional to the percentage of RE, reaching up to 70% in the tool evaluated with most of 30% of Cross-Traffic (CT). And second, the techniques used to send probes packets highly influences the Estimation Time (ET), where some tools that use slops spend up to 240s to converge when there is 60% CT in the network, ensuring that the estimate this technique av_bw highly congested channel, OET as much is used, resulting in inaccuracies in measurement.