bluuebunny/crossref_metadata_2025 huggingface dataset:
RUSSIA AND VIETNAM BEFORE AND AFTER SANCTIONS
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), MOSYAKOV Dmitry V.
Published: January 2023

The article analyzes Vietnam's policy towards Russia in the period after the start of the special military operation. The problems that have arisen in bilateral relations in connection with the imposition of sanctions against Russia by the West are considered.
NEW ZEALAND AS AN INDICATOR OF UPCOMING CHANGES IN THE DOMESTIC POLICY OF THE "COLLECTIVE WEST"
Authors:   Institute of oriental studies, Russian academy of sciences (MOSCOW), KOCHETKOV Dmitry S.
Published: January 2023

This article is mostly the analysis of the speech performed at the General Debate of the 77-th session of the United Nations General Assembly by prime-minister of New Zealand Jacinda Ardern. This analysis leads to assumption that the rhetoric of New Zealand’s government may reflect the intentions of the whole Western world led by the USA, while social changes in New Zealand may show what changes are coming to all the other western countries.
Numerical Simulation of Non-toxic ZnSe Buffer Layer to Enhance Sb2S3 Solar Cell Efficiency Using SCAPS-1D Software
Authors: Halim Md. Abdul , Biswas Sunirmal Kumar , Islam Md. Shafiqul , Ahmed Md. Mostak
Published: January 2023

The use of renewable energy, especially solar photovoltaic, has grown more and more necessary in the context of the diversification of the use of natural resources. Sb2S3 is emerged as an attractive candidate for today's thin-film solar cells due to its band gap of 1.65 eV and high absorption coefficient greater than 105 cm-1. Cadmium Sulfide is the most commonly used buffer layer material in thin film solar cells, but cadmium is a metal that causes severe toxicity in humans and the environment. This article tried to avoid cadmium for solar cell generation. This paper presents the findings of a computer simulation analysis of a thin film solar cell based on a p-type Sb2S3 absorber layer and an n-type ZnSe buffer layer in a structure of (Sb2S3/ZnSe/i-ZnO/ZnO: Al) utilizing simulation software (SCAPS-1D). The simulation included detailed configuration optimization for the thickness of the absorber layer, buffer layer, defect density, temperature, and series-shunt resistance. In this work, the Efficiency (η), Fill Factor (FF), Open-circuit Voltage (Voc), and short-circuit current (Jsc) have been measured by varying thickness of absorber layer in the range of 0.5µm to 4 µm and by varying thickness of buffer layer in the range of 0.05 µm to 0.1µm. The optimized solar cell shows an efficiency of 20.03% when the absorber layer thickness is 4µm and the buffer layer thickness is 0.08µm.
Energy Monitoring and Control of Automatic Transfer Switch between Grid and Solar Panel for Home System
Authors: Saputro Joko Slamet , Maghfiroh Hari , Adriyanto Feri , Darmawan Muhammad Renaldy , Ibrahim Muhammad Hamka , Pramono Subuh
Published: January 2023

In this digital age, most aspects of life require an electric supply. The availability of electrical power is very critical to maintaining the continuity of the system in various applications. To maintain system continuity, the Energy Monitoring and Control of an Automatic Transfer Switch (ATS) between the Grid and Solar Panel is proposed. The system consists of an Automatic Transfer Switch, Home Solar Power Plant, and Automatic Charging. The function of the monitoring system is to monitor the voltage, current, and power across the device, the operation mode of the ATS, and the State of Charge (SoC) of the battery. The control system is to control the operation mode of ATS according to the energy source selected by the user on the Internet of Things (IoT) interface. The results show that the system can successfully monitor solar panel conditions, AC output, and battery's State of Charge through Blynk IoT. The ATS works automatically with a switching delay of 20ms to 26ms, while on the user's command, the average switching delay is 303.33ms to activate the relay and 185ms to deactivate the relay.
Implementation of The Speech Recognition System Using a real time web Server Based
Authors: Aditya Moch. Vicky , Setiawan Aries Boedi , Rabi Abdur
Published: January 2023

a Speech Recognition is a system used to recognize word commands from human voices and then translated them into data that can be understood by a computer. The advantages of Speech Recognition include speed and ease of use. Merdeka Malang is a private university founded on January 29, 1964. The University of Merdeka Malang still doesn’t have a strategy in recommending new students based on historical data calculations in choosing faculties. and majors. In calculating the history, if you use a manual system, they will be constrained by the time and accuracy of the data, causing the data to be less valid.Therefore, there is a need for a system that can exchange data in real-time so that the data displayed is always up to date without manual data updating. This process is useful for monitoring and accelerating the process of calculating student interest data, which can later be recommended to future new students. Moreover, The speech technique used is using speech recognition which is used for processing speech data on smartphones while sending data using the XAMPP web server which is used to exchange data from smartphones to servers.
Electricity Monitoring System based on Fuzzy Logic and Internet of things
Authors: Dawe Alfonsius Yohandrik Bi
Published: January 2023

a smart home concept that has a remote control system based on the Internet of things, to provide convenience and security for owners to control household electronic equipment such as lights, tv, and fans, not only controlling the house but homeowners can monitor power, voltage, current and electricity bills in real-time as well as the status of the electrical load used in a lit state or not. And users can also limit the use of power to prevent overloads that impact rising bills or electricity usage costs—monitoring lighting automatically on the house's terrace using the fuzzy logic method and monitoring bathroom lights by detecting the presence and absence of movement. The switch system on electrical devices can be replaced using the ESP8266 microcontroller to be connected to android with the Openhabian application installed. This control system can also be done anywhere without area restrictions as long as the user can connect to the Internet.
Drone simulation for agriculture and LoRa based approach
Authors: Adi Puput Dani Prasetyo , Mustamu Novilda Elizabeth , Siregar Victor M.M. , Sihombing Volvo
Published: January 2023

Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed.
Implementation of Wireshark and IPtables Firewall Collaboration to Improve Traffic Security on Network Systems
Authors: Wahid Abdul , Firdaus Muhammad Eka , Parenreng Jumadi Mabe
Published: January 2023

Along with the development of the internet era which is very fast today, the network security system becomes a very urgent matter and needs attention. The number of criminal activities and cyber attacks that attack servers through the network makes a server administrator need to make extra efforts in maintaining and monitoring data traffic that enters or leaves the server system. One of the efforts often made by server admins is to monitor server activity and then immediately secure the server from attacks that they identify from the monitoring results. data packets. Here an algorithm is built where the output of the Wireshark application is an analysis result that will distinguish the presence of a malicious accessing IP and then notify the server admin to set the firewall and block the IP that is considered dangerous, or analyze the port that is temporarily under attack and then notify the admin to close the port. . From the results of this algorithm research by simulating attacks using Synflood Attack on the server, it can be seen that the level of effectiveness of the algorithm in dealing with attacks can make RAM and CPU lighter so that it does not burden the hardware when compared to without using the algorithm and also makes system network traffic more efficient.
Implementation of Fingerprint Sensors for Fingerprint Reader Prototypes Using a Microcontroller
Authors: Siregar Victor Marudut Mulia , Siagian Nancy Florida
Published: January 2023

study aims to create a Fingerprint Sensor Implementation System for a Fingerprint Reader Prototype Using a Microcontroller. Implementing the Fingerprint Sensor for the Fingerprint Reader Prototype is run by an application connected by a USB cable. The Fingerprint Sensor Implementation System for the Fingerprint Reader Prototype is made for fast and more accurate attendance and cannot be manipulated. The Fingerprint Sensor Implementation System for the Fingerprint Reader Prototype is the problem. Namely, the attendance problem, which is still manual using books; after that, the design and manufacture of the Fingerprint Reader prototype using a Microcontroller or applications through NetBeans. Then implementation and testing. Then at the trial stage, the Arduino application was carried out. The result of this study is the Fingerprint Sensor Implementation System for the Prototype Fingerprint Reader Using a Microcontroller and development in the Internet of Things.
Environment Law and Natural Sustainability resources: case of Pawon Cave Area Conservation Gunung Masigit Village, Cipatat District, West Bandung
Authors: Hamzah A Hadian Pratama
Published: January 2023

This study aims to examine the sustainability of the conservation of the Pawon Cave area and the factors that influence it. Sustainable development includes ecology, the region's social and economic benefits, and mining potential. The method used is a mixture of qualitative and quantitative. Herein, the community access to the Pawon Cave area is gardening, taking firewood, and taking grass. Processing and minimization of soil erosion are well managed, including a terracing system. Plants and animals in the area are maintained with no logging or hunting. The site provides benefits such as water, rice, vegetables, and fruits, as well as fertilizer for agriculture. Moreover, factors that affect the sustainability of the conservation of the Pawon Cave area are policy support from the government and having adequate human resources to manage the place. The implementation of the policy has shown that it is appropriate to support conservation efforts such as prevention of mining, preservation of springs, and protection of plants and animals in the area. Several construction facilities have also been built to support tourism. The coaching and training program for the caretaker of the Pawon Cave area is an effort to keep the area manager's human resources professionals. The incentives given by the government to the Provincial Jupel are 500,000/month, and the Regency Jupel is 450,000/month.
Revisiting the Thoughts of José Manuel Naredo, a Pioneer of Ecological Economics in Spain. A Contribution to the Debates on the Need for a Radical Societal Change
Authors: Torres Cati
Published: January 2023

In a time imbued with civilisation crisis, José Manuel Naredo's work is of particular relevance. Naredo, one of the most prestigious economists in Spain and a pioneer of ecological economics, first published his most popular book ( La economía en evolución. Historia y perspectivas de las categorías básicas del pensamiento económico) in 1987. This article reviews its most recent and updated version released in 2015. Beyond a brilliant criticism of neoclassical economics, he discusses the underlying ideology and implications of the notion of economic system uncritically endorsed by most schools of economic thought. Transcending the usual dichotomy between ‘orthodox’ and ‘heterodox’ economics, Naredo calls for an economic transition built on the integration of different kinds of scientific knowledge as well as other intuitive, metaphysical and ethical fields in favour of a truly inclusive economics. This is, he warns us, a sine qua non for a socioecological transformation to flourish.
Analysing and Anticipating Conflict Using a Values-Centred Online Survey
Authors: Philpot Simone L. , Hipel Keith W. , Johnson Peter A.
Published: January 2023

The authors present an approach to conceptualising and predicting environmental conflicts in which conflicts are analysed as a continuum of disagreement over values and options. They also operationalise this approach using an online values-centred survey tool, the ‘public-to-public decision support system’ (P2P-DSS). The authors put values and conflict in environmental management into perspective. Next, they review how values are defined in scholarship and operationalised for decision support. The relevance of values research to con-flict management is presented. With reference to a real-world aggregate-mining conflict, the authors demonstrate how P2P-DSS can be used to collect data and categorise conflicts to enhance environmental management decision-making. The authors argue that P2P-DSS has potential to support values-sensitive thinking for environmental conflict management. They then set out research priorities to investigate the theoretical and practical implications of this approach. This work contributes to advancing values research in environmental conflict management and expanding values-based decision-making.
THE PHENOMENON OF «TUMOR-TO-TUMOR METASTASIS». DESCRIPTION OF OWN CLINICAL OBSERVATION OF METASTASIS OF SMALL CELL LUNG CANCER INTO THE THYROID GLAND, IN TURN AFFECTED BY OCCULT PAPILLARY CANCER
Authors:   National Research Mordovian State University named after N.P. Ogarev, Almyashev A. Z. , Ulyankina R. A. ,   National Research Mordovian State University named after N.P. Ogarev
Published: January 2023

A rare clinical case is presented: metastasis of one type of cancer (small cell lung cancer) to another (metastasis of occult papillary thyroid cancer to cervical lymph nodes). The issues of features of clinical and morphological diagnostics and the choice of possible treatment tactics are discussed.
Image Classification of Land Use Land Cover of Bengaluru City Using Convolutional Neural Network
Authors: Kumar R Senthil , Meenakshi Sudaram B. , Rashmi R
Published: January 2023

Developing countries like India is witnessing an increasing economic growth, rapid population in addition to industrialization leading to an increased rate of land use and cover. In order to better utilize the land and natural resource is essential to classify and analyse the land use and cover. Machine Learning and Deep Learning techniques are considered to be one of the effective and efficient ways for analysing and classifying the land use & cover. Here, in this paper, methodology for land use & cover classification – analysis of rural and urban regions of Bengaluru is been proposed. The proposed system’s main objective is to monitor the land cover changes of Bengaluru district including its rural and urban region for classifying the land cover into its exact classes. Classification algorithms such as SVM (Support Vector Machine), RF (Random Forest), KNN (K – Nearest Neighbor) and DT (Decision Tree) are used in the preprocessing of images and model created is tested using CNN. The Landsat datasets from usgs earth explorer is used. Performance evaluation of these algorithms are done based on their accuracy rates and efficiency. The proposed system shows that CNN classifies the land cover classes efficiently because of its highest accuracy and efficiency rates when compared with other algorithms.
Improving Speech Quality Using Deep Neural Network-Based Manipulation of Cepstral Excitation
Authors: Singh Mahesh K. , Lavanya D. , Asha Madhuri Ch. , Ramesh P. , Satyanarayana V.
Published: January 2023

The source-filter paradigm, which is used in human speech development, would be used in this proposal to increase speech quality. Excitation signals in the cepstral domain are amplified using a sophisticated neural network (DNN). As a result, they compared the effects of normalization on two different types of goals. Using the cepstral excitation manipulation approach (CEM) instead of traditional signal processing-based cepstral excitation, we were able to reduce noise by 1.5 dB. Studying various combinations of data demonstrates that envelope and excitation enhancement are also present. When adopting a low signal-to-noise ratio, good speech intelligibility can be achieved even with a lot of noise attenuation. It can be shown that a traditional pure stats system can attenuate noise better than its modern counterpart because it is older and has a larger sample size. Older classic pure stats systems use less processing power, hence they’re more efficient. We’ve created a new a priori method for measuring SNR for voice-enhancement apps. The cepstral domain spectral envelope is estimated using a DNN. We can improve the quality of low-order noise models while also providing listeners with a natural and pleasurable background noise experience using our CEM approach.
Wave Spectral Analysis of Visakhapatnam Port Under the Resonance Conditions
Authors: Priya Prachi , Kumar Prashant , Rajni
Published: January 2023

The Visakhapatnam port, India is a major natural port, situated in between the Kolkata and Chennai on the East Coast and in terms of latitude and longitude its location is 17.6856∘ N, 83.2160∘ E has experienced an extreme wave oscillations 2.0 to 6.0 m in the midst of its severe weather events. In this paper numerical studies are performed to analyze the frequency distribution over the oceanic surface of standing waves in Visakhapatnam port at four respective synthetic record stations in presence of partially reflecting harbor. The convergence study is conducted to obtain the numerical accuracy of the scheme and simulation results are validated with the available studies experimentally from Ippen and Goda (1963) and Lee (1971) also with the analytical approximations. Further, the spectral density is determined corresponding to the wave period for the incident waves striking with several directions towards the Visakhapatnam port at four different record stations. The computation of the resonant frequencies is conducted in the Visakhapatnam port to examine the safe locations for the moored ship. Abstract goes here.
Three Ethical Arguments Against Killer Robots
Authors: Misselhorn Catrin
Published: January 2023

So-called “killer robots”, i.e., lethal autonomous weapon systems capable of selecting and attacking military targets without human intervention or control, are a particularly controversial topic in machine ethics. Many prominent AI researchers and scientists are calling for a ban of these devices. The paper will discuss three ethical objections against LAWS: (1) the argument from the responsibility gap (Sparrow), (2) the argument from human agency (Leveringhaus), and (3) the argument from moral duty (Misselhorn). These three arguments raise fundament ethical concerns about LAWS. They are supposed to show that lethal autonomous weapon systems would not just have morally bad consequences but that the use of killer robots is morally wrong in itself.
A Small Set of Ethical Challenges for Elder-Care Robots
Authors: Ramanayake Rajitha , Nallur Vivek
Published: January 2023

Elder-care robots have been suggested as a solution for the rising elder-care needs. Although many elder-care agents are commercially available, there are concerns about the behaviour of these robots in ethically charged situations. However, we do not find any evidence of ethical reasoning in commercial offerings. Assuming that this is due to the lack of agreed-upon standards, we offer a set of ethical ‘whetstones’ for them to hone their abilities. We believe that this will help to build better ethically sensitive elder-care robots, and also to understand the robot’s behaviour before making them a part of an elder-care organisation.
A Comparative Data Protection Analysis of Healthcare Robots: On Informed Consent in Human-Robot Interaction
Authors: Weng Yueh-Hsuan
Published: January 2023

As societies across the developed world are dealing with problems associated with aging populations, a promising solution in the form robotics technologies that support elderly people in their daily healthcare has emerged. However, emerging technology are like a double-edge sword. Although healthcare robots can be used for elderly and disabled people with different levels of assistive supports, ie by monitoring their real time health for prompt interaction or by communicating with people to reduce their anxiety, they also bring with them many concerns from an ethical, legal and societal perspective. Among them, one serious issue is privacy and data protection. When healthcare robots are powered by machine learning and distributed databases, “data-driven” networked healthcare robots will be able to gather a huge amount of personal data in physical environments through their interactions with humans. There are several alternative approaches of data protection for “data-driven” networked healthcare robots, including privacy by design, de-identification of data and informed consent. In this article our focus is on the issue of informed consent in human-robot interaction. My argument is that specific conditions of intelligent robots (i.e., embodiment) will mean that the principle of informed consent cannot just be copied and applied to “data-driven” networked healthcare robots. I will make the comparison of the two types of informed consent to clarify our targeted “informed consent in human-robot interaction”. Furthermore, there is a need to discuss potential legal conflicts of this new type of informed consent when it is applied to different countries and their respective legal regimes. Hence, in this article I will conduct a comparative legal analysis of European, American and Japanese data protection law to investigate how such differences might influence the implementation of informed consent to data-driven healthcare robots.
Stakeholders’ Experiences of and Expectations for Robot Accents in a Dental Care Simulation: A Finland-Swedish Case Study
Authors: Hägglund Susanne , Tigerstedt Christa , Biström Dennis , Wingren Mattias , Andersson Sören , Kuvaja Adolfsson Kristoffer , Penttinen Johan , Espinosa-Leal Leonardo
Published: January 2023

This paper presents the findings of an exploratory, qualitative case study where dental professionals’ and care clients’ experiences of and expectations for robot accent are explored. Our research focuses on humanoid, social, co-located robots advising clients in standard Sweden-Swedish on preventive dental selfcare. As steps in a two-year co-creation project, we performed interviews within the linguistic context of Finland’s minority Finland-Swedish population. Our aim was to explore stakeholders’ experiences of and expectations for robot accents in a care context. Thematic analysis revealed six main themes: Expressions, benefits, and barriers to robot accent as conveyor of message, robot accents as support, and as disturbance, and lastly legitimacy of robot accents. The paper demonstrates the central role of robot accent in experiences of HRI in a Finland-Swedish setting, manifestations of in- and out-groupness, and the multifaceted expectations for robot accent recognition and speech.
All Robots Are Disabled
Authors: Williams Rua M.
Published: January 2023

All robots are disabled. I mean this in every possible sense. The anthropomorphic robot is always viewed through a deficit lens—a catalog of its failures to ascend from the uncanny valley. The assembly line robot is regarded with a precarious caution and skepticism—it is only noticed when it fails, becomes convalescent, a disruption to capitalist efficiency. Our relationship to robotic agents is constantly tensored by our desire that they transcend human limitations and our frustration that they remain inelegant and demand our vigilance and maintenance. Everywhere the robot is, the politics of disablement follow. Nowhere is this more evident than within the bodies of common cyborgs—disabled people whose ontology is mediated through the interface of organic matter and technology. Through case studies in human-robot relations (in the home, at work, and within the body), this piece explores how disability stigma informs our sociality with robotic agents and sustains exploitative social systems. I then deploy an alternative reading of these relations, informed by disabled cyborg scholarship and experiences, to propose cripped human-robot relations that prefigure liberation from the legacies of colonial, plantation, and carceral social relations.
Breaking the Typecast? Moral Status and Trust in Robotic Moral Patients
Authors: Banks Jaime , Koban Kevin , Haggadone Brad
Published: January 2023

Given that perceived moral status is key to how people accept others, past scholarship has investigated the role of moral agency in human-robot interaction. However, little empirical work attends to dynamics of moral patiency—the extent to which robots are seen as deserving moral consideration. This investigation addresses two questions: (1) What is the relationship between perceived moral agency (PMA) and perceived moral patiency (PMP) when robots are positioned as moral patients and (2) (how) is PMP associated with trust in a robot? An online experiment explored these questions as people reacted to a robot being subjected to humans’ (im)moral actions. Findings show that PMP is positively linked to PMA (against the moral typecasting hypothesis) and trust, robust to context/valence.
Robot Rulez!? Creative Shifts, Normalization and Reciprocal Recognition as Problems for Robotic Social Practices
Authors: Störzinger Tobias , Poljanšek Tom
Published: January 2023

This paper presents an alternative model to the rule following model of social practices and draws implications for the possibility of integrating robots into the social realm. We differentiate between “maximally loose” and “maximally rigid” forms of social practices and show that especially the latter pose a problem for social robotics. Not only is it a technical challenge to enable robots to function like human agents in loose practices, but it can also lead to normative problems. Namely, on the one hand, social robots may cause loose social practices to become too rigid; on the other hand, they present us with the problem that we would have to recognize robots as co-authors of our social practices or even as persons.
How Far Can We Get in Creating a Digital Replica of a Philosopher?
Authors: Strasser Anna , Crosby Matthew , Schwitzgebel Eric
Published: January 2023

Can we build machines with which we can have interesting conversations? Observing the new optimism of AI regarding deep learning and new language models, we set ourselves an ambitious goal: We want to find out how far we can get in creating a digital replica of a philosopher. This project has two aims; one more technical, investigating of how the best model can be built. The other one, more philosophical, exploring the limitations and risks which accompany the creation of digital replicas. In cooperation with Daniel Dennett, we took his complete works to fine-tune a GPT-3. In this paper we share our first results with some piloting models and discuss legal and ethical questions about creating and interacting with digital replicas.
Communication with Representations of the Dead by Computational Commemoration and Social Robotics
Authors: Brukamp Kirsten
Published: January 2023

Representations of the dead as social robots are on the rise. Communication and interaction with such representations constitute a specific segment within computational commemoration, i.e. memory that is based on digital methods. Case studies provide thought-provoking insights. Novel business models emerge in this area. Imagined dialogues with the dead via media result in social and personal challenges, which need to be addressed in order to arrive at responsible applications of innovative technologies.
It’s Time to Make a Luddite Turn – We’re Confronted with Neo-Tayloristic Vampire Robots
Authors: Gerdes Anne
Published: January 2023

The robot rights scholarly debate has outpaced debates concerning pressing societal issues related to the repressive robotic enslavement of humans. Clearly, the robot rights debate can co-exist with critical political discussions in robophilosophy. However, in academia, we do not reside in an isolated philosophical bubble. Our voices are echoed in the society’s debates on AI and robots. Here, the public opinion and policy making is poorly informed and shaped by techno-optimistic and, often, false and overconfident predictions about the capabilities of AI and robots. Therefore, we should be cautious when insisting on continuously advancing the robot rights debate. Explorations of this exotic topic attracts media attention and intensifies common sci-fi myths and misperceptions tied to the public debate on AI and robots. Consequently, we should cease discussing whether robots ought to be included in the moral circle. We have more pressing, but less media catchy issues to discuss as robots increasingly enslave humans. Consequently, it is time to face the challenges of neo-tayloristic robot tyranny. It is time to replace the relational turn of the robot ethics debate with a Luddite turn.
Robots Should Not Be Slaves
Authors: Gunkel David J.
Published: January 2023

One possible, if not surprising, solution to the exclusive person/thing dichotomy is slavery, insofar as the slave, since Romans times, has occupied a social position that is both/and and neither/nor. Associating robots with slavery and drawing on the history of human servitude to provide a moral and legal framework for dealing with the challenges of socially interactive and intelligent artifacts has become a rather wide-spread practice in the existing literature. But it is one that is fraught with numerous problems and unintended consequences. This paper will critique the “robots should be slaves” proposal, demonstrating how this proposed solution to the person/thing dichotomy is not only no solution but produces more problems than it can resolve.
The Robotic Home: New Tools or Extended Cognitive Agency?
Authors: Telakivi Pii
Published: January 2023

Theories of extended cognition and AI-extenders offer useful theoretical tools for investigating hybrid systems, where cognitive capacities are enhanced or substituted with technological means. In the “extended” view, the integrated technologies are considered as part of their users’ cognition and agency and hence should be given a stronger ethical and legal status. This paper focuses on cognitive technologies such as smart home technologies that can maintain mental health and activities of daily living, and suggests that the extended view offers an advantageous and more ethical way to view them.
How to Write About Gender in Social Robotics
Authors: Ziethmann Paula , Remmers Peter
Published: January 2023

What exactly do robophilosophers refer to when they criticize certain representations of gender? How can they critique representations without reproducing stereotypes themselves? What is referred to in the descriptions, if what is to be described is socially constructed? In order to address these questions, this poster aims to answer the overall question: How can gender as a social construct be described in social robotics without reproducing problematic stereotypes? We conducted a multi-layered analysis of the article “Gendering Humanoid Robots: Robo-Sexism in Japan”, which confirms that the social practice of academic writing in the field of social robotics bears a risk of reproducing gender stereotypes. Our overall research question on how gender as a social construct can be described in social robotics without reproducing problematic stereotypes can be answered as follows: gender in social robotics can be described by approaching robots as a sociotechnical system, which involves their interdependency with society and social structures, and should not be reduced to possible physical attributes of social robots.
The Effect of Respiratory Training with Incentive Spirometry Training in a Post COVID-19 Patient with Cervical Spinal Cord Injury: A Case Study
Authors:   Korean Academy of Cardiorespiratory Physical Therapy, Lee Ji-Yeon , Kim Kyoung-Hee
Published: January 2023

Purpose: This study was designed to determine the effects of respiratory training on the respiratory function and quality of life of a patient with post-coronavirus disease 2019 (COVID-19) with cervical spinal cord injury.
Methods: A case study design was used. A patient with post-COVID-19 with cervical spinal cord injury was enrolled and received general rehabilitation therapy (5 days per week). The Tri-ball incentive spirometry training was performed 5 times a week for 20 min for 8 weeks, gradually increasing the intensity and frequency according to the patient’s condition. The respiratory function was evaluated using spirometry, and the patient’s quality of life was assessed using the 36-item Short Form Health Survey (SF-36) before and 4 and 8 weeks after training.
Results: After training, the respiratory function parameters, particularly forced vital capacity (FVC), forced expiratory volume at 1 s (FEV1), and peak expiratory flow (PEF), increased. The SF-36 score remarkably increased after training.
Conclusion: The results of the application of incentive spirometry training to a patient with post-COVID-19 with cervical spinal cord injury showed that respiratory training is important for improving the respiratory function and quality of life.
Library associations: making connections to enable effective change
Authors: Dunne Mary
Published: January 2023

Decisions by library associations impact on everyone involved in library and information services. The committee of the Library Association of Ireland, Health Sciences Libraries Group conducted an online survey about association and group membership. Our (49) responses and literature review provide a useful guide to what is wanted and needed. We learned about the value of taking a holistic, connected approach to enhancing expertise through continuing professional development, progressing the interests of our profession, and supporting collegiality and knowledge exchange by uniting us as a community. Our findings show the importance of belonging to a professional group that not only provides comprehensive tangible supports but also facilitates a network of stakeholders with whom we can engage, share and collaborate.
Updating reviews: We discussed best practice at the EAHIL 2022 Conference
Authors: Harriss Eli , Klein Sabine D.
Published: January 2023

We conducted a workshop at the EAHIL 2022 Conference which aimed to identify best practice when updating literature searches for systematic reviews. We prepared a presentation and questions which were discussed in small groups. The potential solutions were evaluated using the “rose, thorn, bud” method, and the results of the workshop are summarised here. The importance of transparently reporting the search strategies, platforms, and changes compared to previous searches were emphasised. Workshop participants preferred to change (and improve) previous strategies rather than repeating faulty searches. They also preferred to re-run searches over the whole time period instead of searching from a time point on, suggesting deduplication methods to manage the records. We hope this discussion will continue at future conferences.
Development and validation of a database filter for study size: preliminary results
Authors: Gunput Sabrina , Bramer Wichor M
Published: January 2023

Researchers performing systematic reviews often express the desire to limit the search results to a certain study size. The aim of our study was to develop a filter in embase.com and Ovid to retrieve references above a specified threshold of study size. The filter that was developed consists mainly of truncated numbers in proximity with words such as patients, cases, adults, females and phrases like "n=".  Preliminary results showed that the sensitivity of the filter, as evaluated on existing systematic reviews, was at least 94%. The burden of screening for systematic reviews can be greatly reduced with the study size filter.
Uterine artery pulsatility index among polycystic ovary disease; case control study
Authors: Salih Salah Mohi , Abedalrahman Sarab K. , Hamdi Usama Nahi
Published: January 2023

Introduction: Polycystic ovarian syndrome is a multiple organ disorder affects 5 to 10 % female population. The world occurrence of PCOS is 105 million in the age ranges from 15 to 45. The polycystic ovarian syndrome is a set of disorders like amenorrhea, infertility, polycystic ovaries, hyperinsulinemia, hirsutism, acne vulgaris and other symptoms of hyperandrogenism. Color Doppler and Pulse Doppler play a major role in evaluation of uterine artery Resistive index for access correlation with PCOS. PCOS patients suffer from primary and secondary infertility. This study aimed to show assess uterine blood flow and whether there is a correlation between these patterns and specific hormonal parameters.

A case control study done in Salah Al-Deen governorate during the period of 1st May–1st October 2022. Twenty-five patients with polycystic ovary disease compared with 25 normal healthy women. The ultrasound and Doppler analyses were performed for all women during the follicular phase of the menstrual cycle. Uterine artery blood flow velocities were analyzed and the pulsatility index, were calculated.

The current study showed that oligomenorrhea found among (72%) of the patients, clinical/biochemical signs of hyperandrogenism found among (76%). The mean LH (mIU/L) was significantly higher among PCO disease cases and also that the mean FSH (mIU/L) was significantly lower among PCO disease cases  than control group. There was at increased ovarian volume of > 10 cm3 found among (80%), and ≥12 follicles measuring 2-9 mm found in (84%) of the PCO disease patients. The mean Uterine artery PI was significantly higher among PCO disease cases 2.3 ± 0.5 than control group 1.8 ± 0.4 (P value <0.05).

The mean ovarian volume was significantly higher among PCO disease cases  than control group. The mean Uterine artery PI was significantly higher among PCO disease cases than control group.
From Pedagogical Practice to Pedagogical Excellence: Cooperation of Kyiv National Linguistic University with General Secondary Education Institutions
Authors: Chernysh Valentyna , Posadska Tatiana , Kalko Victoria
Published: January 2023

We will inform you about our cooperation with the partners - Ukrainian universities and general secondary schools.
Internet technologies and international tourism business
Authors: Kuchai О.
Published: January 2023

The article identifies key aspects of the introduction and use of digitalization elements to increase the efficiency of tourism industry. The author highlights the modern trends in the world market of services and defines the place of international tourism as a priority sphere of economy of many countries, providing the lion’s share of the total national income of countries, becoming a direction of international specialization, promoting comprehensive sustainable economic development, social inclusion, growth of employment and overcoming poverty, efficient use of resources, environmental protection, developmentof intercultural communications, preservation of peace and security as an important component of social interactions of global scale. During the study was found that the tourism industry is currently developing rapidly and must meet modern challenges. Thus, under such conditions, considerable attention should be paid to the use of innovative technologies and the introduction of digitalization elements in tourism. It is noted that digitalization has been the main trend and growth factor of business for several years. Innovative and communicatory technologies have transformed both business and approaches to customers, sales of products and services, etc. Digitalization creates new sectors and segments, as well as new professions. The substantiation of necessity of using the Internet technologies for development of tourism at the present stage is given. It is determined that the digitalization of tourism will help to increase the competitiveness of the industry, the key areas of digitalization of tourism in the digital economy. When
Effectiveness of Play Therapy Based on Social Cognition in Children With Internalized Behavioral Disorders
Authors:   Department of Psychology and Education of Exceptional Children, Faculty of Psychology and Education, Allameh Tabataba’i University, Tehran, Iran., Rezayi Saeed , Hasanvand Mohammad Bagher ,   Department of Psychology and Education of Exceptional Children, Faculty of Psychology and Education, Allameh Tabataba’i University, Tehran, Iran.
Published: January 2023

Objectives: Internalizing disorders include disorders, such as major depressive disorder, dysthymia, and somatic disorders. In the diagnostic and statistical manual of mental disorders, 5th edition (DSM-5), post-traumatic stress disorder (PTSD) is recognized as a distinct group, but anxiety is a common symptom. This study aimed to investigate the effectiveness of play therapy programs based on social cognition in children with internalized behavioral disorders. Methods: This study was an experimental design with a pre-test, post-test, and follow-up. The subjects were screened based on the inclusion criteria, then 20 children with internalized behavioral disorders were selected after the matching process, and they were randomly assigned to experimental and control groups (10 persons in each group). The intervention program was implemented in 10 sessions over 3 months. In this research, the Achenbach questionnaire (teacher report form) was used to assess students’ behavioral problems. Results: The results showed that play therapy with the social cognition method decreased the behavioral problems in children with the internalizing disorder (P≤0.05). Discussion: It suggested that this supportive program can be implemented in a community of children with internalizing behavioral disorders.
Quality and Effectiveness of Virtual Education From the Viewpoint of Rehabilitation Professors and Students of Ahvaz Jundishapur University of Medical Sciences During the COVID-19 Pandemic
Authors:   Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Hoseini-Beidokhti Masoumeh , Abaeian Golnoosh ,   Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Abedini-Baghbadorani Sara ,   Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Mahmoud Latifi Seyed ,   Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Published: January 2023

Objectives: The emergence of COVID-19 and its prevalence in the global community had various economic, social, emotional, psychological, and educational impacts. The closure of schools and universities in the country because of the outbreak of COVID-19 has led to the emergence of e-Learning in education at all levels. Given the importance of virtual education during the pandemic and the need to improve its quality at schools and universities, this study aims to explore the quality, efficacy, and understanding of the strengths and drawbacks of virtual education from the perspectives of professors and students at Ahvaz Jondishapur University of Medical Sciences. Methods: In the domains of physiotherapy, occupational therapy, speech therapy, and audiology, the current descriptive-analytical study was done with 17 professors and 210 undergraduate and postgraduate (master’s degree) students. The data was collected using the Persian version of the Watkins e-learning standard questionnaire and was analyzed via the SPSS software, v. 26. Results: From the professors’ perspective, the quality and effectiveness of virtual education based on different components of the questionnaire did not differ significantly and all dimensions were considered effective. However, the students considered the dimensions of technology access and online skills and relationships as strengths and faced challenges in the importance of success. Discussion: Considering the identified strengths and challenges, it seems that policymakers in the field of education should pay special attention to providing the necessary conditions and facilities to improve the quality of learners’ virtual education.
Sensory Profile in Infant/Toddler: Birth to 36 Months
Authors:   Department of Psychology, Faculty of Humanities, University of Bojnurd, Bojnurd, Iran., Nesayan Abbas
Published: January 2023

Objectives: Sensory processing patterns refer to a person’s ability to receive and respond to sensory events which are important to succeed in daily routine activities. This study aims to determine the sensory processing patterns in infants/toddlers. Methods: This is a cross-sectional study. A total of 518 infants/toddlers participated in this study. Their ages ranged from birth to 36 months. Parents completed the infant/toddler sensory profile for all participants. Results: No significant difference was observed between girls and boys in sensory processing from birth to 6 months; however, there is a significant difference between girls and boys in low registration, sensory sensitivity, and sensory avoidance from 7-36 months. In addition, no significant difference was detected between children born by cesarean and those born through natural childbirth in terms of sensory processing (quadrants and scores) from birth to 6 months and 7-36 months. There is a significant difference between preterm and full-term children (birth to 6 months) in auditory processing. The findings also indicate only a significant difference in oral sensory processing between the preterm and full-term children (7-36 months). Discussion: We discussed sensory processing patterns in children and their differences based on different factors. The results of this study can provide considerations for Iranian occupational therapists and psychologists.