bluuebunny/crossref_metadata_2025 huggingface dataset:
FREQUENCY OF LEFT VENTRICULAR DIASTOLIC DYSFUCTION IN END STAGE RENAL DISEASE PATIENTS ON HEMODIALYSIS
Authors: Ahmed Raheel , Munib Syed , Ahmed Tausif
Published: March 2023

INTRODUCTION:

Cardiovascular diseases represent the main cause of morbidity and mortality in patients with chronic kidney disease (CKD. Left ventricular hypertrophy (LVH) represents a key

feature to provide an accurate picture of systolic-diastolic left heart involvement in CKD

patients.

 

OBJECTIVE:

 

To  determine  the  frequency  of left ventricular diastolic  dysfunction  in  end  stage  renal disease patients on hemodialysis.

 

Material and Methods: Descriptive Cross Sectional was conducted at  Department of

Nephrology, Institute of Kidney Diseases Peshawar from 11th  July 2018 to 10th  January

All the patients were stabilized and after initial stabilization and treatment of these patients, written informed  consent  was  obtained  from  them.  Echocardiogram  was

performed by consultant cardiologist in order to look for the presence of LV dysfunction. LV  systolic  dysfunction  considered  depressed  when  left  ventricular  ejection  fraction (LVEF) was found less than 45%. Clinical and electrocardiographic evidences of valvular heart disease, heart failure (EF<50%) and myocardial ischemia were excluded from this study.

 

RESULTS:

 

As per frequencies and percentages for LVDD, 121 (87.68%) patients were recorded with

LVDD.

 

CONCLUSION:

 

In this study, we concluded that LVDD is a typical feature of CKD-related cardiomyopathy as LVDD and myocardial fibrosis are associated with mortality risk and cardiovascular events in CKD and ESRD as demonstrated by higher rates of sudden cardiac death in these patients.
Berat Badan Kehamilan, Operasi Sesar dan Pemberian Susu Formula Berhubungan dengan Kejadian Hiperbilirubinemia
Authors: Herliana Ade Herna , Hanifa Fanni , Astuti Retno Puji , Burmanajaya Bram
Published: March 2023

Latar belakang: Hiperbilirubin merupakan penyebab paling banyak terjadi pada neonatus. Hiperbilirubinemia dapat dipengaruhi oleh beberapa faktor seperti faktor maternal, faktor perinatal dan faktor neonatal. Diantara penyebab hiperbilirubinemia yaitu berat badan kehamilan, operasi sesar dan pemberian susu formula.
Tujuan: Untuk mengetahui hubungan berat badan kehamilan, operasi Caesar dan pemberian susu formula dengan kejadian hiperbilirubinemia fisiologis di RSUD Kota Bogor.
Metode: Penelitian ini adalah penelitian kuantitatif dengan pendekatan cross-sectional. Sampel adalah semua bayi kejadian hiperbilirubin di RSUD Kota Bogor selama periode Juni-Oktober 2021 sebanyak 64 responden. Teknik pengambilan sampel menggunakan purposive sampling. Alat ukur menggunakan data sekunder (rekam medik). Analisis data menggunakan chi square dengan α 0,05. 
Hasil: Hasil uji analisis statistik hubungan operasi caesar dengan kejadian hiperbilirubin nilai (p-value = 0,000), hubungan berat badan kehamilan dengan kejadian hiperbilirubin nilai (p-value = 0,000), dan hubungan susu formula dengan kejadian hiperbilirubin (p-value = 0.001).
Kesimpulan: Dari ketiga variabel dalam penelitian ini semuanya terdapat hubungan antara  berat badan kehamilan, operasi sesar, susu formula dengan kejadian hiperbilirubinemia di RSUD Kota Bogor Tahun 2022.
Hubungan Pengetahuan Ibu, Dukungan Suami, Latihan Fisik Prenatal dengan Lamanya Proses Persalinan Normal pada Primigravida di PMB Bidan Fitri Tahun 2021
Authors: Nurlitawati Fitri , Noviyani Ernita Prima
Published: March 2023

Pendahuluan: Lamanya persalinan di Indonesia sangat banyak karena kurangnya  informasi yang didapatkan oleh ibu, sehingga menyebabkan banyaknya kasus lamanya persalinan sebesar di Indonesia (15,5%), sedangkan di provinsi Jawa Barat sebesar (18%). Berdasarkan data di PMB Fitri menyatakan bahwa adanya kenaikan proses lamanya persalinan pada tahun lalu dari 70 partus 20 partus mengalami proses persalinan yang lama pada primigravida sehingga dilakukannya tindakan induksi  persalinan.
Tujuan: Untuk  mengetahui Hubungan Pengetahuan Ibu, dukungan suami, Latihan Fisik Prenatal dengan Lamanya Proses Persalinan Normal pada Primigravida di PMB Bidan Fitri Tahun 2021.
Metode: Jenis penelitian yang digunakan adalah korelasi analitik (penelitian analitik) dengan pendekatan cross-sectional pengambilan sampel pada penelitian ini menggunakan total sampling. Jumlah responden 55 ibu bersalin primigravida di PMB Bidan Fitri. Instrumen menggunakan kuesioner. Metode analisis yang digunakan adalah Statistic Product For Social and Science (SPSS) versi 18.
Hasil: Hasil pengujian hipotesis temuan penelitian yaitu pengetahuan ibu, dengan lamanya proses persalinan normal pada primigravida nilai p-value sebesar 0,006 ≤ 0,05, dukungan suami, dengan lamanya proses persalinan normal pada primigravida nilai p-value sebesar 0,001 ≤ 0,05, latihan fisik prenatal dengan lamanya proses persalinan normal pada primigravida nilai p-value sebesar 0,04 ≤ 0,05.
Kesimpulan: Terdapat hubungan pengetahuan ibu, dukungan suami, latihan fisik prenatal dengan lamanya proses persalinan normal pada primigravida di PMB Bidan Fitri Tahun 2021.
Pengaruh Senam Ergonomik terhadap Penurunan Tekanan Darah Tinggi di Wilayah RW 01 Mekarwangi Tanah Sareal Kota Bogor Tahun 2021
Authors: Ningtias Sri Rahayu , Yuliza Emi , Herliana Irma
Published: March 2023

Pendahuluan: Hipertensi (Hiper artinya Berlebihan, Tensi artinya tekanan/tegangan) jadi hipertensi adalah gangguan sistem peredaran darah yang menyebabkan kenaikan tekanan darah di atas normal. Seseorang dikatakan terkena hipertensi jika mempunyai tekanan darah Sistole ≥140 mmHg dan tekanan darah Diastole ≥90 mmHg. Senam ergonomik adalah tehnik senam yang dapat di lakukan oleh semua kalangan usia mengingat gerakan nya yang praktis,  efesien, dan logis untuk mengembalikan atau membetulkan sistem syaraf dan dan aliran darah, dan memaksimalkan supplai oksigen ke otak.
Tujuan: Untuk mengetahui pengaruh senam ergonomik terhadap penurunan tekanan darah tinggi pada penderita hipertensi.
Metode: Metode dalam penelitian ini adalah penelitian kuantitatif dengan jenis penelitian menggunakan quasy eksperiment dengan design penelitian menggunakan One group pre-test dan post-test. Populasi dalam penelitian ini adalah sebanyak 15 responden tanpa kelompok kontrol. Instrument penelitian ini menggunakan lembar observasi. Hasil uji di analisis menggunakan uji wilcoxon signed rank test
Hasil: Berdasarkan hasil uji wilcoxon signed rank test didapatkan nilai p-value 0,015
Kesimpulan: Ada pengaruh senam ergonomik terhadap penurunan tekanan darah tinggi
Hubungan Posisi Bersalin, Berat Bayi dan Lama Persalinan dengan Rupture Perineum di RSIA Citra Insani Bogor Tahun 2021
Authors: Sudiarsih Vivi
Published: March 2023

Pendahuluan: Ruptur perineum menjadi penyebab perdarahan ibu postpartum. Perdarahan postpartum menjadi penyebab utama 40% kematian ibu di Indonesia. Ruptur perineum yang dilakukan dengan episiotomi itu sendiri harus dilakukan atas indikasi antara lain: bayi besar, perineum kaku, persalinan yang kelainan letak, persalinan dengan menggunakan alat baik forceps maupun vacuum. Di Asia kejadian ruptur perineum cukup banyak terjadi, 50% dari kejadian robekan perineum di dunia terjadi diAsia. Di Indonesia ruptur perineum dialami oleh 75% ibu melahirkan pervaginam. 
Tujuan: Untuk mengetahui hubungan posisi bersalin, berat bayi lahir dan lamanya persalinan dengan ruptur perineum pada Persalinan Normal di RS Citra Insani Bogor tahun 2021.
Metode: Metode penelitian ini adalah analitik kuantitatif dengan desain cross-sectional. Populasi penelitian adalah seluruh ibu bersalin secara normal di RSIA Citra Insani Bogor tahun 2021 dengan teknik pengambilan sampel yaitu total sampling, dengan pengambilan sampel tertentu dan pengumpulan data menggunakan lembar ceklis. Uji statistik yang digunakan yaitu uji stastitik Chi-square.
Hasil: Hasil uji menunjukan bahwa hubungan antara posisi bersalin dengan rupture perineum ditandai dengan p-value sebesar 0.000. Hubungan berat bayi dengan rupture perineum ditandai dengan p-value sebesar 0.030. Hubungan Lama persalinan dengan rupture perineum ditandai dengan p-value sebesar 0.000.
Kesimpulan: Terdapat hubungan antara posisi bersalin, berat bayi lahir, dan lama persalinan terhadap rupture perineum.
Efektifitas Teknik Marmet terhadap Tanda Kecukupan ASI pada Ibu Postpartum di Klinik Utama Siti Chadidjah
Authors: Rumaini Rumaini
Published: March 2023

Latar Belakang: Tingginya angka kematian bayi dapat diatasi dengan segera memberikan ASI. Faktor penghambat dalam menyusui selain pembengkakan payudara adalah produksi ASI. Salah satu upaya untuk merangsang hormon prolaktin dan oksitosin adalah dengan teknik marmet
Tujuan: Untuk mengetahui efektifitas teknik marmet terhadap tanda kecukupan ASI pada ibu postpartum di Klinik Utama Siti Chadidjah
Metode: Penelitian ini menggunakan metode quasi-experimental design dengan desain case-control pretest-posttest design. Anggota sampel dalam penelitian ini adalah 2 kelompok yaitu: kelompok ibu nifas yang melakukan teknik marmet dan kelompok ibu nifas yang tidak melakukan teknik marmet. Pada penelitian ini sampel yang digunakan yaitu berjumlah 29 ibu postpartum dengan menggunakan total populasi
Hasil: Berdasarkan hasil penelitian, bernilai 0,007 (0,007 < 0,05). Hasil penelitian pada kelompok yang dilakukan teknik marmet berjumlah 15 orang, didapatkan hasil pada post-test produksi ASI ibu postpartum seluruhnya (100%) baik. Kelompok yang tidak dilakukan teknik marmet berjumlah 14 orang, didapatkan hasil pada post-test setelah 6 jam postpartum maka terlihat bahwa produksi ASI ibu postpartum baik hanya berjumlah 5 orang (40%) dan produksi ASI yang tidak baik terdapat 9 orang (urutan 60%).
Kesimpulan: Teknik marmet efektif terhadap peningkatan kecukupan ASI pada ibu postpartum di Klinik Utama Siti Chadidjah.
Hubungan antara Status Gizi, Aktivitas Fisik, dan Dukungan Suami dengan Hiperemesis Gravidarum pada Ibu Hamil Trimester I dan Trimester II
Authors: Ayuni Indah Dwi , Lisca Shinta Mona , Karubuy Milka Anggraeni
Published: March 2023

Latar Belakang: Hiperemesis gravidarum merupakan keadaan mual muntah yang berlebihan pada ibu hamil dimana apa yang dimakan dan diminum dimuntahkan sehingga mempengaruhi keadaan umum dan menghambat aktivitas sehari-hari. Menurut WHO tahun 2015 angka mual muntah diperkirakan 14% dari seluruh ibu hamil yang mengalami mual muntah. Kejadian mual muntah di Indonesia didapatkan dari 2. 203 kehamilan yang bisa di observasi secara lengkap 534 orang ibu hamil yang mengalami mual muntah.
Tujuan: Untuk mengetahui hubungan status gizi, aktivitas fisik, dan dukungan suami pada ibu hamil trimester I dan trimester II di BPM Jenda Lenteng Agung Jakarta Selatan Tahun 2021.
Metode: Penelitian ini merupakan jenis penelitian survey analitik dengan pendekatan cross-sectional. Metode pengambilan sampel menggunakan teknik total sampling sampel berjumlah 55 ibu hamil yang mengalami hiperemesis gravidarum di BPM Jenda Lenteng Agung. Instrumen penelitian yaitu lembar observasi, dan kuesioner terhadap ibu hamil yang mengalami hiperemesis graviadarum. Uji statistik yang digunakan adalah uji Chi-square
Hasil: Berdasarkan hasil penelitian uji statistic diperoleh nilai analisis bivariate yaitu hubungan antara status gizi dengan hiperemesis gravidarum didapatkan nilai P-value 0,002. Hubungan antara aktivitas fisik dengan hiperemesis gravidarum didapatkan nilai P-value 0,024. Hubungan antara dukungan suami dengan hiperemesis gravidarum didapatkan nilai P-value 0,011.
Kesimpulan: Ada hubungan antara status gizi, aktivitas fisik, dan dukungan suami pada ibu hamil di BPM Jenda Lenteng Agung Jakarta Selatan Tahun 2021.
Hubungan Pengetahuan Ibu, Peran Tenaga Kesehatan, Media Informasi Terhadap Pemakaian KB Suntik 3 Bulan Selama Pandemi Covid-19
Authors: Refwalu Maria Enjel Grasia
Published: March 2023

Latar Belakang: Suntik 3 bulan  merupakan metode kontrasepsi yang diberikan secara intra muscular setiap tiga bulan sekali, tidak mempengaruhi ASI dan cocok untuk ibu menyusui.
Tujuan: Untuk mengetahui hubungan pengetahuan ibu, peran tenaga kesehatan, dan media informasi terhadap pemakaian kb suntik 3 bulan selama pandemic covid 19 di Puskesmas Benteng Ambon Tahun 2021
Metode: Penelitian ini merupakan penelitian kuantitatif dengan pendekatan cross-sectional. Sampel penelitian menggunakan total sampling dengan jumlah sampel 50 responden. Analisis data bersifat univariat dan bivariat. Instrumen penelitian yang digunakan adalah kuesioner dengan analisis data menggunakan chi-square
Hasil: Hasil penelitian menunjukkan bahwa hubungan antara pengetahuan ibu dengan hasil p-value sebesar 0,025, peran tenaga kesehatan dengan hasil p-value sebesar 0,047, dan media informasi dengan hasil p-value sebesar 0,000 terhadap pemakaian kb suntik 3 bulan di Puskesmas Benteng Ambon Tahun 2021
Kesimpulan: Ada hubungan antara pengetahuan ibu, peran tenaga kesehatan dan media informasi terhadap pemakaian kb suntik 3 bulan di Puskesmas Benteng Ambon Tahun 2021
Figure: Publication bias
Authors: Nilsonne Gustav
Published: March 2023

A figure showing effects of publication bias in a forest plot (English and Swedish) Acknowledgement: Meike Latz
An Analysis of Demographic Factors that determine Employee Engagement in the Workplace: A Case Study of the RMG Industry of Bangladesh
Authors: Alam Mohammad Jahangir
Published: March 2023

As a labor-intensive and man-machine integrated manufacturing industry, the level of employee engagement in the industry is a big concern that has created a long-term adverse effect on both employers and employees to a large extent. Hence, this study has examined how the demographic factors of employees in this industry affect the engagement level of employees in the context of Bangladesh. Following the multistage sampling method, data was collected from 280 employees working in this industry and analyzed accordingly with the application statistical tool ANOVA and independent t-test. The results of the analysis indicate that the demographic factors of employees have an influence on employee engagement in the workplace at different levels. The managerial implication of this study is that the employers of the RMG industry will now know that the work engagement of employees is predicted by demographic factors of employees. Thus, this study will help this industry to set the right policies and procedures to adhere to a sustainable level of employee engagement in line with the demographic factors of employees.
Applying the theory of The Social Representation on customer buying Behavior towards Significant Sportswear Brands in Saudi Arabia
Authors: Alatawy Khald
Published: March 2023

The primary objective of the study was to examine the implications of social representation theory from the perspective of Saudi Arabia’s customer buying behaviour towards leading sportswear brands. The revealed results demonstrate that Adidas has higher purchasing intention as compared with Puma among the e-consumers in Saudi Arabia. Furthermore, an attitude, social representation, and preferences influence the pur-chase intention of the customer buying behaviour. Social class, gender, age, living area and educational level work as a significant mediating factor for customer buying behaviour. The study also revealed that e-consumers need more engagement with sportswear brands (Puma and Adidas) to build online trust and experi-ences for customers’ buying decision making process. The study recommended that the marketers need to im-prove the marketing e-commerce strategies to attract the various consumer groups in the kingdom. The study only focuses on the customer buying behaviour towards Adidas and Puma. However, future studies can be carried out by including other sportswear brand operating in Saudi Arabia.
The Anthropology of Magic and Sorcery in Tunisian society: An Ethnographic study
Authors: Abdelli Said
Published: March 2023

This research is concerned with the study of the phenomenon of witchcraft and sorcery in Arab societies through a field study in Tunisian society, which included a sample of workers in the field of witchcraft and witchcraft. In addition to a sample of individuals, we sent them a research form consisting of several questions to answer. In this paper we study the relationship between religion and magical practices as well as the classifi-cation of magic. On the other hand, we learned about the most prominent concepts, namely magic and sorcery. This study deals with the approach of magic and witchcraft, from a social and anthropological perspective. Therefore, this study attempts to answer some questions about the phenomenon of magic. This study aimed to study the health phenomenon in the Arab reality and to show its relationship with the most important.
The size of the Saudi Family in the Urban Area of Hail: its Development, Spatial Variation, and its Future
Authors: Al-Anazi Dhahyah
Published: March 2023

The study aims to identify Saudi family size and its geographical distribution in urban governorates of the Hail region determining influential demographic, social, and economic factors, revealing its size in the future until 2039,The study relied on the descriptive analytical method applied to a simple random sample of heads of household, consisting of 384 families, using the questionnaire method, The study concluded that the medium-sized family of (5-9) individuals is the dominant pattern in the study area and the rate varied between gover-norates, as Samira governorate recorded the highest rate (8.2) individuals, while Al-Hait governorate recorded the lowest rate (5.9),Among the factors affecting family size are the length of married life, education level, work status, and quality of housing, The study revealed that there is a strong trend towards forming medium-sized families in the future; due to high percentages in all indicators, the analytical study relied on, which is the preferred number of children and the ideal age for marriage for a young man and a girl, Accordingly, the study recommended activating the role of family planning units in urban neighborhood clinics to facilitate women's access to information related to reproductive health and family planning and to increase job opportunities to empower young men and girls economically.
Designing a Digital Crown-Mapping Application for Pedestrian and Cyclists
Authors: Titov Waldemar , Gerlach Carl , Schlegel Thomas
Published: March 2023

Walking and cycling as active mobility have often been forgotten in research and planning in sub-Saharan Africa and only in recent years national and local authorities as well as international agencies are putting more effort on this topic. There are efforts to develop walking and cycling policies and infrastructure in cities like Nairobi and Kampala. However, these new infrastructure projects are minimal in scope, have design inadequacies that make them unusable or unattractive, are not wide enough to meet walking space standards, and are in places that do not serve the majority of the people who need to access them. To further promote active mobility in sub-Saharan Africa while building on existing activities, combined efforts of applied research and continuing education are required to better understand walking and cycling needs in an African Context. The promotion of active mobility can build on existing applied research activities in sub- Saharan Africa as well as transferable research activities in Germany, prior introduced by Hausmann et al. 2017. Nevertheless, there is still a need to better capture the requirements of the pedestrians and cyclists and to illustrate their needs.
Optimal Explanation Generation using Attention Distribution Model
Authors: Bairy Akhila , Fränzle Martin
Published: March 2023

With highly automated and Autonomous Vehicles (AVs) being one of the most prominent emerging technologies in the automotive industry, efforts to achieve SAE Level 3+ vehicles have skyrocketed in recent years. As new technologies emerge on a daily basis, these systems are becoming increasingly complex. To help people understand - and also accept - these new technologies, there is a need for explanation. There are three essential dimensions to designing explanations, namely content, frequency, and timing. Our goal is to develop an algorithm that optimises explanation in AVs. Most of the existing research focuses on the content of an explanation, whereas the fine-granularity of the frequency and timing of an explanation is relatively unexplored. Previous studies concerning "when to explain" have tended to make broad distinctions between explaining before, during or after an action is performed. For AVs, studies have shown that passengers prefer to receive an explanation before an autonomous action takes place. However, it seems likely that the acclimatisation that occurs through prolonged exposure to and use of a particular AV will reduce the need for explanation. As comprehension of explanations is workload-intensive, it is necessary to optimise both the frequency, i.e. skipping explanations when they are not helpful to reduce workload, and the precise point in time when an explanation is given, i.e. giving an explanation when it provides the maximum workload reduction. Extra mental workload for passengers can be caused by both giving and omitting an explanation. Every explanation that is presented requires cognitive processing in order to be understood, even if its content is considered to be redundant or if it will not be remembered by the addressee. On the other hand, skipping the explanation can cause the passenger to actively scan the environment for potential cues themselves, if necessary. Such an attention strategy would also impose a significant cognitive load on the passenger. In our work, to predict the mental workload of the passenger, we use the state-of-the-art attention model called SEEV (Salience, Effort, Expectancy, and Value). The SEEV model is dynamically used for forecasting the likelihood of the direction of attention. Our work aims to generate an optimally timed strategy for presenting an explanation. Using the SEEV model we build a probabilistic reactive game, i.e., 1.5-player game or Markov Decision Process, and we use reactive synthesis to generate an optimal reactive strategy for presenting an explanation that minimises workload.
Exploration of Intercultural Mechanism of Language through the Interaction with Sensitive Qualities of Artistic Objects
Authors: Gil Tejeda Jorge , Olmos Pineda Lorena
Published: March 2023

Through the study of 346 artistic products, related to digital paintings from the Medieval period, the relationship between the intercultural mechanism of contemporary language and the qualities of paintings were studied. In this sense the tool developed by Wingfield, C., & Connell, L. (2022) was used, in which the semantic similarity based on user experience was analyzed. In relation to the qualities of artistic object the tetrachoric coefficient of darkness was considered to analyze as one of fundamental sensitive factors of artistic work, so the variables were reduced to the dichotomy: darkness of the digital work in RGB system and concepts based on experience. Likewise, a classification of 57 relevant topics of digital works were obtained. The results suggest the existence of a low relationship in the dichotomy: darkness of image - concept based on experience; However it was observed that as the closeness of the concept increases in relation to the Middle Ages, there is less tendency to find works with a prominent darkness in the digital image., Which suggests that the formation of contemporary concepts related to the Middle Ages are not dependent on the darkness of the work. The intention of these studies lies on exploring the relationship of the intercultural mechanism of language based on semantic similarity -proposed by Wingfield, C., & Connell, in groups of contemporary users and the interaction with sensitive qualities of objects created in ancient times.
Application of Double Skin Facade to Improve the Thermal Comfort Level in an Experimental Chamber
Authors: Conceição Eusébio , Inês Conceição Maria , Manuela Lúcio Maria , Gomes João , Awbi Hazim
Published: March 2023

In this work a DSF system (Double Skin Facade) is used to improve the thermal comfort level that the occupants are subjected in an experimental chamber. The DSF system, build with three unities, is equipped in a south facade of the experimental chamber. The study, made in winter conditions, uses the solar radiation to heated the air, injected in the occupied space with 6 people, to improve the thermal comfort conditions. The experimental chamber is build with wood and isolating material. The DSF system is build with two glass façades, equipped with 15 lamellas. This system, subjected to solar radiation, is connected to the interior with a duct system connected with two ventilators. The numerical study consider a software that simulates the building and the DSF thermal response. The numerical model, that considers buildings with complexes topologies, uses energy and mass balance integral equations for the opaque surfaces, transparent surfaces and internal air. The software also considers the solar radiation simulator, the radiative and convective coefficients evaluation, the glass radiative properties and the thermal comfort and internal air quality simulator. In accordance with the obtained results the thermal comfort level, using the PMV (Predicted Mean Vote), during the occupation time, in general, is in accordance with the international standards.
The Future Impact of Digital Assistants on Aviation Safety Culture
Authors: Kirwan Barry
Published: March 2023

In the coming decade, Artificial Intelligence-based Digital Assistants are likely to appear in operational aviation contexts, including the cockpit and air traffic control Ops room. Current scenarios for such AI support include advising flight crew during mid-flight emergencies, and executing routine air traffic duties in the Tower to reduce complexity and controller workload. The concept for Digital Assistants goes beyond today’s Machine Learning-based tools, which largely offer information to human operators. Instead, the notion is of an AI-based ‘colleague’ that can engage in dialogue with its human counterparts. This in turn leads to the notion of a Human-AI Team and raises a host of questions about how such a team can and should function to optimise system performance and safety. One question in particular concerns how working with a Digital Assistant, and even potentially relying on one in safety critical scenarios, will affect the team’s, and the parent organisation’s safety culture, since safety culture is seen as high in the industry, and valuable in assuring passenger and crew safety. In the European air traffic network, safety culture is measured regularly in different countries using a standardised 50-item scientifically validated questionnaire. This questionnaire has been applied to the Digital Assistant concept to see which facets of safety culture might be affected. The results of this analysis have identified six high-level concerns, but also six instances where the Digital Assistant could potentially reinforce or improve safety culture, providing new ‘safety affordances’. Although the current work’s focus is on aviation, the safety culture issues raised here may also pertain to other domains including health care, the energy sector, space and defence systems.
Visual Instance Retrieval for Cultural Heritage Artifacts using Feature Pyramid Network
Authors: Pipanmekaporn Luepol , Kamonsantiroj Suwatchai
Published: March 2023

Digitized photographs are commonly employed by archaeologists to assist in uncovering ancient artefacts. However, locating a specific image within a vast collection remains a significant obstacle. The metadata associated with images is often sparse, marking keyword-based searches difficult. In this paper, we propose a new visual search method to improve retrieval performance by utilizing visual descriptors generated from a feature pyramid network. This network is a convolutional neural network (CNN) model that incorporates additional modules for feature extraction and enhancement. The first module encodes an image into regional features through spatial pyramid pooling, while the second module emphasizes distinctive spatial features. Additionally, we introduce a two-stage feature attention to enhance feature quality and a compact descriptor is then formed by aggregating these features for searching the image. We tested our proposed method on benchmark datasets and a public vast collection of Thailand’s ancient artefacts. Results from our experiments show that the proposed method achieves 77.9% of mean average precision, which outperforms existing CNN-based visual descriptors.
Modeling and implementing program activities to support the implementation of new technologies in the small and medium-sized enterprise sector
Authors: Stefaniak Sylwia
Published: March 2023

The article is part of a doctoral dissertation, the aim of which is to implement the Policy for the Development of Artificial Intelligence from 2020 in Poland by modelling and implementing program activities to support the implementation of new technologies in the small and medium-sized enterprise sector (SME), along with their cyclical monitoring and validation. The doctoral thesis assumes that the realization of the goal will be carried out through the collection and production of a set of good practices that will support and facilitate the implementation of solutions based on artificial intelligence for SME, as well as their popularization in this group, which will fill the implementation gap (lack of addressing the needs of this target group) and the research gap (description of program mechanisms addressing the problems of policy implementation). For this purpose, a platform provided by the Global Partnership on Artificial Intelligence in the form of a website is being used and adapted in Polish market, where an entrepreneur will be able to easily validate his or her level of maturity and can see what technologies are adequate for implementation in his or her enterprise. The conceptual work on the portal identified three main challenges facing SMEs: the difficulty in finding trusted AI suppliers, the lack of knowledge in AI, and the lack of identification of business topics and strategies where AI could be implemented in the organization. By using the portal and describing a specific way to validate suppliers, which will also be the subject of this article, SMEs can count on programmatic support in applying AI to business operations. During the implementation of this tool in Poland, the author of the publication focused on entrepreneurs who do not use technologies or the possible implementation of technologies raises many questions (for example, of a legal nature), and thus blocks the possibility of possible implementation. The article will indicate how AI solution providers are added (assessment list), how SMEs can find out their level of implementation, as well as what recommendations for changes to the portal have come from each side so as to ensure the best possible functioning of this portal in the Polish market, thus addressing the research and implementation problem of the PhD.
Tutorial: Conceptualizing intelligence amplification in human-centred AI applications using the design canvas
Authors: Paul Sebastian Piest Jean , Eugenia Iacob Maria , Johanna Theodoor Wouterse Marcel
Published: March 2023

Designing applications that enhance the cognitive abilities of their users is complex and requires involvement of stakeholders from different disciplines. The intelligence amplification design canvas aims to ease and support initial design processes. Currently, a step-by-step tutorial for practitioners is lacking. Extending earlier work regarding the organization of a design canvas workshop, the objective of this paper is to provide such a tutorial. Leveraging the comprehensive design approach for intelligence amplification from earlier work, participants of this tutorial will detail a self-defined idea or existing application using the 13 elements of the intelligence amplification design canvas in four short iterations. Following its four design principles, participants use the intelligence amplification design canvas to emphasize and define human-centred design aspects, the embodiment in the form of a software agent, the use of data driven approaches and computational intelligence, and incorporation of human in the loop. This way, the tutorial contributes to the initiation of new human-centred AI projects as well as the analysis and improvement of existing applications. Furthermore, this tutorial aspires to form a group of researchers and practitioners to collaboratively develop and evaluate human-centred AI applications and case studies. The tutorial can be planned as a half-day or full-day session depending on the target audience. The tutorial requires a room for 4-8 pairs of workshop participants, a large screen or beamer, and laptop for the tutorial presentation. The intelligence amplification design canvas can best be printed on A3 paper for each participant and can be filled in using a pen or post-its. The target audience of the tutorial includes, but is not limited to practitioners, researchers, and students active in the fields of computer science, information systems research, systems design and engineering and human-computer interaction.
Numerical study of the airflow around the occupant using confluent jets system
Authors: Conceição Eusébio , Inês Conceição Maria , Manuela Lúcio Maria , Gomes João , Awbi Hazim
Published: March 2023

In this paper the numerical study of the airflow around the occupant using confluent jets system is made. This study uses a software that considers a coupling between Computational Fluid Dynamics and the Human Thermal Modelling numerical models with the inputs from the Building Thermal Modelling numerical model. The coupling of numerical models is used to evaluate the human temperature distribution, using the Human Thermal Modelling numerical model, the airflow around the occupants, using the Computational Fluid Dynamic numerical model, and the room surrounding temperatures, using the Building Thermal Modelling numerical model numerical model. In this numerical work, developed for winter conditions, the airflow around the occupants and inside the space are evaluated for a confluents jets ventilation system, build with one exhaust and one inlet ventilation systems. The study is made inside a virtual chamber, occupied with two virtual manikins and equipped with one tables and two chairs. The air velocity, air temperature, Draught Risk, carbon dioxide concentration and air exchange rate field around the occupants and inside the space are evaluated.
Comparison in virtual reality based on efficiency for product assembly
Authors: G. Reyes-Zárate Gabriela , Caballero Montes Eduardo , A. Gonzalez-Mendivil Jorge , Hernández Espejo Uziel
Published: March 2023

Virtual Reality technology (VR) can be used for manufacturing training within a reduced space to allow trainees to manipulate objects in a simulated environment. Based on the information obtained from this recreation exercise, the production planning team can implement the proper adjustments prior to the beginning of an assembly. During a Project Evaluation and Management course, five students from Tecnologico de Monterrey created a VR space with pieces for assembly in a laboratory, designed with the previous user experience from the students. The main objective of this study was to test the effectiveness of a drill pump assembly process to analyze the assembly time. The study included 44 third-year undergraduate engineering students, 22 females. After the VR study, a statistical test was performed to analyze the results, which indicated that the group of students reduced the cycle time by 67% after two times compared to the first tryout. In addition, no significant differences were observed in the assembly time between the male and female students.
Simulation-based Prediction Model to Optimize Contact Pressure of Knitted Fabrics for Wearable Garments
Authors: Youn Seonyoung , Mathur Kavita , Knowles Caitlin , Ju Beomjun , Sennik Busra , Jur Jesse
Published: March 2023

This paper proposes a simulation-based contact pressure (CP) prediction model for prototyping electronic textile (e-textile) wearable devices for health monitoring. This study uses a CLO 3D garment simulator, and knit fabrics are investigated in different weights and polyurethane contents. The first phase presents a comparative analysis of simulated and experimental stress. Based on the understanding of simulated stress, the CP model is developed by modifying Laplace’s law and using the simulated stress. The CP model is validated using a pressure sensor to compare the actual contact pressure. The developed CP model helps garment designers and engineers select the appropriate material and product size to achieve the target pressure required for ECG health monitoring in their decision-making.
Prevention of Work-Related Musculoskeletal Disorders supported by Artificial Intelligence
Authors: Sekkay Firdaous
Published: March 2023

In the industry 4.0 era, industrial production is designed to be more efficient, more flexible, and with higher quality. Besides, it is characterized by greater automation and computerization. However, in the industrial field, workers are still involved in many jobs requiring them to lift and move heavy items and other production activities that expose them to the associated risk factors for developing work-related musculoskeletal disorders (WMSDs). In physical ergonomics, studies have shown potential for preventing WMSDs through artificial intelligence (AI). In this regard, this literature review aims to establish the current state of art regarding the use of AI to reduce the risk of developing WMSDs. A literature review was carried out in two databases, and through the combination of keywords, 188 articles were found. Twenty-eight papers were retrieved and analyzed based on dimensions related to WMSDs risk factors, ergonomic criteria, and AI applications.
Virtual Reality to Improve Technical Teacher Presenting and Speaking Skills
Authors: Vaněček David , Dobrovská Dana
Published: March 2023

ContextFear of public speaking (glossophobia) is one form of anxiety. People may struggle to speak in a classroom, meeting, and in other group settings. This can make it very difficult for sufferers to communicate verbally to express their knowledge and thoughts. As a result, glossophobia may hamper the sufferer’s ability to further own academic, social or career opportunities.Purpose/approachThe aim of our study was to share experience with a teaching program based on VR to help future teachers improve their presentation and speaking skills. Our study followed a descriptive mixed research design. Participants of 5 groups, each of 5 members went through the regular course of speaking and presentation skills or through a course based on VR. Several characteristics of an individual speech were measured by VR: eye contact, speed of speech, use of crutch words, speech pausing, clarity, loudness, monotony and word repetition. Reduction of glossophobia was measured by a questionnaire and through personal interviews.Actual research outcomes -Interviews with teachers (6 trainers)Pros: high motivation, visible progress, more self-assurance, better performanceCons: cost of equipment, need of technical support-Interviews with course participants (25 future teachers)Pros: felt like being in „real“ classroom and with „real“ students, enjoyment, new experience, emotions, enthusiasm, fun, loss of fear,Cons: made me tired, had to share the equipment with other students, lost my concentration-QuestionnairesClear reduction of glossophobia as measured by self-report of future teachersConclusions VR is eligible to be used in different environments, and many applications successfully apply it to improve learning. Our findings indicate that VR applications are more likely to lead to certain benefits such as increased motivation of users.
Safety and security analysis of Connected and Automated Vehicles: A methodology based on Interaction with stakeholders
Authors: Alam Shahzad , Sabaliauskaite Giedre , Jadidbonab Hesamaldin , Bryans Jeremy
Published: March 2023

Connected and Automated Vehicles (CAVs) are becoming global phenomena and making their way into our society. With the increase in vehicle system automation and connectivity levels, reliance on technology increases, which reduces the human influence on vehicle dynamic driving tasks. This development significantly transformed the nature of human-vehicle interaction design from control to supervisory control. The final goal of CAVs is to enable driverless rides (SAE L 4 – 5), where various stakeholders (passengers, service providers, and insurers) will interact during the post-development phases of the vehicle life cycle. CAVs are susceptible to safety and cyber security attacks where a successful attack could lead to various safety, operational, financial, and privacy losses. This paper aims to propose a methodology for safety and security analysis of CAV interaction with various stakeholders and is aligned with automotive cyber security standard ISO/SAE 21434 TARA. This standard provides the guideline to perform risk management for vehicles, considering the vehicle system level only; whereas the prescribed methodology will complement standard ISO/SAE 21434, performs safety and security analysis based on the CAV - Stakeholders interaction model and investigates the impact of cybersecurity incidents on various stakeholders. The paper presents the methodology which builds upon knowledge combining the known techniques from safety and security domains. The research results in developing an interaction model, and identifying interaction assets, their vulnerabilities, and threats. Furthermore, it performs an attack consequences analysis to demonstrate the impact of the attack on various stakeholders. The developed methodology can be applied to any post-development phase of the CAV life such as operation, maintenance, and decommissioning.
On-Site and Remote Crowdsourcing of Accessibility Data for People with Mobility Impairments: A Case Study in Zurich’s District 1
Authors: Witzel Lina , Chhong Sophy , Hutter Hans-Peter , Darvishy Alireza
Published: March 2023

Collecting accurate accessibility data systematically for pathways is a time-consuming task that typically requires expert knowledge. However, it is a prerequisite to enable reliable and trustworthy accessible routing. The development of Capture & Go, a mobile application to report barriers for people with mobility impairments, facilitates the on-site collection of crowdsourced accessibility data. Several other mapping tools contain accessibility data, although they have not been developed explicitly for this purpose. In contrast to Capture & Go, they allow data collection to be performed remotely. Using quantitative and qualitative approaches, we analyzed several such applications and examined their efficiency in capturing barriers in a case study of District 1 in Zurich. The remotely collected data was compared to the data of the barriers captured on-site using Capture & Go. Overall, the remote tools were less efficient than Capture & Go in terms of effort, coverage, and accuracy of the barriers, as well as usability.
The Course Glancer - Leveraging Interactive Visualization for Course Selection
Authors: Spletter Christian , Eppler Martin
Published: March 2023

Lifelong learning requires the consistent and continued development of one’s knowledge, skills, and competencies. However, due to the extensive choice of courses offered at today’s institutions of higher learning, students face a risk of choice overload in their selection of (elective) courses. As current findings in choice overload literature do not refer to student samples in educational settings nor do they consider the use of interactive visualization formats, the use of interactive visualization in higher education organizations seems a promising way to support course selection that fits educational needs. All the more as previous visualization approaches to overcome table-based visualizations or online course catalogues primarily aim at communicating curricular content and structure to different university stakeholders, while disregarding students. We thus introduce our work-in-progress on an interactive visualization tool called the Course Glancer. The Course Glancer supports students’ decision-making ability when confronted with a variety of learning offers while taking electives of a bachelor’s degree program in business administration. The tool provides support for gaining an overview on all available courses and their categories, and for rapidly comparing course alternatives. In doing so, it can help to clarify course preferences and finally to foster students’ confidence of not having overlooked an important course option. This is in line with Shneiderman’s information-seeking mantra as a must-have for effective cognitive processing: Overview first, zoom and filter, then details-on-demand. We use this mantra in connection with Norman’s usability principles of discoverability, affordances, feedback, constraints, mapping, and consistency. An example of how we use constraints is that course comparison is limited to juxtaposing two courses only. This functionality considers latest evidence from using eye-tracking studies that revealed that human beings tend to distribute their attention in an unbalanced manner and focus mainly on the two options that seem the most promising alternatives. To enrich the empirical research on choice overload, we plan to focus on psychological effects in the use of the Course Glancer. These include subjective, moderating factors (e.g., decision style) and behavior-related measures. The latter refer to subjective states (choice satisfaction, decision regret, decision confidence) or behavioral outcomes (e.g., choice deferral, option selection). Beyond these, group-related effects should also be analyzed in future research, for example, if interacting with our tool can stimulate information exchange processes within expert groups of higher education organizations (e.g., in the context of accreditation procedures or curriculum planning).
Operationalising ontologies for competence management in the industry
Authors: Englmeier Kurt , Contreras Pedro
Published: March 2023

With the increasing availability of digital resources for on-the-job training, competence management in the industry requires new tools to identify training opportunities for the continuous development of the skills of employees. Our emphasis is to determine which digital courses or further learning resources suit the actual employee’s competence in combination with the skills and knowledge she or he aspires to achieve. In this paper, we describe the role of ontologies and, in particular, the ESCO ontology for the development of suitable profiles for learners, learning goals, and learning resources. We describe the matching processes operating on these profiles in order to identify the training opportunities that match best the learner’s capacity and aspirations.