bluuebunny/crossref_metadata_2025 huggingface dataset:
A radiological analysis of pelvic fixation trajectories: patient series
Authors: Scoville Jonathan P , Joyce Evan , Dailey Andrew T , Mazur Marcus D
Published: October 2023

BACKGROUND

Three well-defined methods for pelvic fixation are used for biomechanical support in spine fusion constructs: iliac, recessed iliac, and S2-alar-iliac (S2AI) screws. The authors compared the maximum screw sizes that could be placed with these techniques by using image-guidance software and high-resolution computed tomography scans from 20 randomly selected patients. Six trajectories were plotted per side, beginning at recognized starting points (standard or recessed posterior superior iliac spine [PSIS] or S2AI screw) and ending at the anterior inferior iliac spine (AIIS) or supra-acetabular notch (SAN).

OBSERVATIONS

The mean maximum screw length and width ranged from 80.0 ± 32.2 mm to 140.8 ± 22.6 mm and from 8.25 ± 1.2 mm to 13.0 ± 2.7 mm, respectively, depending on the trajectory. Statistically significant differences in length were found between the standard and recessed PSIS trajectories to the AIIS (p < 0.001) and between the standard PSIS-to-AIIS trajectory and the S2AI-to-AIIS (p = 0.007) or S2AI-to-SAN (p < 0.001) trajectories. The most successful trajectory was the PSIS to SAN (95%, 38/40).

LESSONS

The traditional iliac screw trajectory enabled the longest and widest screw trajectories and highest rate of successful screw placement with the fewest theoretical breaches more reliably than recessed and S2AI trajectories. These findings may help surgeons plan for maximum screw purchase for pelvic fixation.
Asymptomatic subarachnoid hemorrhage following carotid endarterectomy: illustrative case
Authors: Nemoto Shin , Maeda Takuma , Yamashita Keiichi , Yanagawa Taro , Torii Masataka , Kiyomoto Masaru , Tanaka Masaki , Sato Eishi , Harada Yoichi , Hatayama Toru , Kono Takuji , Kurita Hiroki
Published: October 2023

BACKGROUND

Carotid endarterectomy (CEA) and carotid artery stenting are common surgical interventions for internal carotid artery stenosis. Cerebral hyperperfusion syndrome (CHS) is a well-known complication of both procedures that can lead to intracranial hemorrhage and worsen clinical outcomes. Here, the authors report a rare case of non-aneurysmal subarachnoid hemorrhage (SAH) following CEA and review the relevant literature.

OBSERVATIONS

A 70-year-old woman with hypertension and diabetes presented with progressive visual loss in the right eye and was diagnosed with ocular ischemic syndrome. Imaging revealed severe right cervical carotid artery stenosis. CEA was performed with no complications. Postoperatively, the patient’s blood pressure was tightly controlled, with no evidence of CHS. However, an asymptomatic SAH was detected on postoperative day 7. Careful observation and blood pressure control were maintained. Since follow-up magnetic resonance imaging (MRI) showed no enlarging of the SAH and the patient was asymptomatic, she was discharged on postoperative day 15 with a modified Rankin scale score of 0.

LESSONS

This case highlights the potential occurrence of non-aneurysmal SAH as a rare complication of CEA, even in asymptomatic patients. Repeated postoperative MRI is necessary to detect such complications. It is crucial to carefully control blood pressure after CEA regardless of symptoms.
Right to Effective Legal Remedy in Criminal Proceedings in the EU. Implementation and Need for Standards
Authors: Kiejnich-Kruk Karolina , Wiliński Paweł
Published: October 2023

In order to secure rights and guarantees provided by the legal system of the European Union, legal acts in the field of the criminal cooperation refer to the right to an effective remedy. Given that, two instruments are particularly impor­tant as they were the first to aim to set the standard and frame for the effective remedy conceptual framework: the Directive 2013/48/EU and the Directive (EU) 2016/343. The Authors analyse the legislation process within that context, the ap­proach of Member States, (non)existing standards and related consequences, such as the possibilities of proper implementa­tion of the right to the effective remedy into the national legal systems, verification of that process as well as the chances to achieve the harmonisation of minimal standards of the protec­tion of fundamental rights in the area of criminal proceedings in the EU.
Orta Asya’dan Cumhuriyet dönemi Türkiye’sine: tarihsel süreç içerisinde Türk mutfak kültürünün gelişimi
Authors: KARAMAN Nilgün
Published: October 2023

Türk mutfağı, tarihsel süreç içerisinde birçok etnik grup, bölgesel farklılıklar ve tarihî olayların etkisiyle şekillenmiştir. Bu mutfağın hikayesi Orta Asya'da başlamış ve zaman içinde farklı coğrafyalara yayılmış, yerel tatlarla zenginleşmiştir. Özellikle savaşlar sonucunda elde edilen yeni topraklar, bu mutfağın çeşitlenmesine katkı sağlamıştır. Türk mutfağının evrimi, farklı dönemlerde yaşanan tarihsel olaylarla şekillenmiştir. Örneğin, Osmanlı İmparatorluğu döneminde farklı kültürlerin etkisi altında kalmış bu da yemeklerin çeşitlenmesine neden olmuştur. Osmanlı İmparatorluğu'nun büyüklüğü ve çok uluslu yapısı farklı mutfak geleneklerinin bir araya gelmesine olanak tanımıştır. Bu dönemde Türk mutfağına Arap, Pers, Yunan ve Balkan mutfaklarından etkiler gelmiştir. Cumhuriyet dönemi ise Türk mutfağının modernleşmesinde önemli bir rol oynamıştır. Bu dönemde, yeni tarifler ve yemek hazırlama teknikleri geliştirilmiş aynı zamanda batılı mutfaklarla da etkileşim yaşanmıştır. Bunun sonucunda Türk mutfağı daha da çeşitlenmiş ve uluslararası düzeyde tanınmıştır. Bu kapsamda araştırmanın amacı, Cumhuriyet dönemi Türk mutfak kültürünün gelişiminin Türklerin tarih sahnesine çıktığı dönemden itibaren yemek ve mutfak kültürlerinde meydana gelen değişimleri ve bu değişimlerin nedenlerini incelemektir. Bu değişimler yaşadıkları coğrafyanın özellikleri, göç ettikleri bölgelerin etkisi ve diğer medeniyetlerle olan etkileşimleri kapsamında değerlendirilmiştir. Bu konu üzerine yapılan araştırmalardan elde edilen bilgiler çerçevesinde alanyazın derlemesi yapılmıştır.
Penyuluhan Hukum: Kajian Yuridis tentang Hukum Pidana Mati, Pembenahan dan Dampak pada Masyarakat di Fakultas Hukum Universitas Tjut Nyak Dhien
Authors: Siregar Dahris
Published: October 2023

The death penalty is a problem issue that contains many controversies, For this reason, through this subject matter grew ideas or ideas to be more detailed so as to get data so that in this service by conducting legal counseling using research methods in the form of research techniques using normative law, specifically, analysis-based research approaches to theories, concepts, and reviewing laws and regulations related to the theme this devotion. Many people's views that the death penalty is the final verdict in court where they consider the execution of the death penalty shall constitute a direct sanction. So it is necessary to improve the death penalty, so that everyone with different statuses knows and understands it so that everyone can have equal access before the law. With the availability of legal advice activities on the death penalty at the law faculty as an implementation of the program of knowledge contained in the curriculum of the faculty of law, Tjut Nyak Dhien University, so that students are expected to understand the legal provisions and implementation of the death penalty and its effect on human rights.
Peningkatan Kemampuan Siswa-Siswi SMK Negeri 1 Minas Dalam Speech Contest
Authors: Edward  , Hutahaean Sorta
Published: October 2023

This article is entitiled, “The Improvement of Student’s Ability in Speech Delivery Contest. The research was aimed at improving the ability of the students of State Vocational School I of Minas in delivering speech. After doing the treatment it was found that students were knowledgeable in identifying indicators of .speech contest and in doing exposures towards the factors of speaking in giving a speech, such as appearance/ performance, intonation, fluency, organization including time management/ accuracy, pronunciation and articulation. The result, therefore, in terms of the speaking abilitiy of the students in delivering a speech was gradualy increasing.
Battery-Based Energy Storage System from Solar Panels Utilization for Worship House Applications in Carang Wulung Village
Authors: Rusli Muhammad Rizani , Lucky Pradigta Setiya Raharja  , Nugraha Syechu Dwitya , Adila Ahmad Firyal , Jaya Arman , Sutedjo Sutedjo , Agusalim Imam Dui , Suharyanto Hendik Eko Hadi , Suryono Suryono , Irianto Irianto , Wahjono Endro , Rakhmawati Renny , Ferdiansyah Indra , Murdianto Farid Dwi , Eviningsih Rachma Prilian
Published: October 2023

Due to the topography and hilly terrain in the area, there is still a hamlet in Carang Wulungvillage that does not have a low-voltage electricity network from PLN, namely Gondang Hamlet. As a result of this limitation, there is a place of worship (musala) in Gondang Hamlet that has not been adequately taken care of and is considered unfit when viewed from the availability of electricity. The community in this predominantly Muslim hamlet experiences lighting problems during congregational prayers at night until dawn. The lack of a power source for speakers also prevents the use of speakers to mark the prayer times. Based on this background, a battery-based energy storage system from solar panels was developed for this community service activity. The stages of community service activities carried out include surveying the needs for the installation of solar panel and battery installation systems, assembling several system components, testing the laboratory-scale system, installing the system that has been assembled and tested, and conducting socialization and training for residents on the use, operation, and maintenance of the solar panel system. The residents are happy that this community service activity has been carried out because they can worship comfortably at any time without relying on PLN as a source of electricity
Student Independent Training at the Merdeka Campus Study at the Merdeka Campus
Authors: Lesi Hertati  , Asmawati Asharie  , Lili Syafitri
Published: October 2023

This service examines the role of students in Merdeka Learning Kampus Merdeka (MBKM) activities in order to create creativity, innovation, superior information technology in creating competitive advantage and new learning patterns in exchange of campus learning with a new atmosphere. The government's policy of creating MBKM encourages students to develop themselves, new ideas, a new atmosphere can form a new academic atmosphere as well as knowledge and skills that can motivate students to learn and share knowledge to enrich knowledge and creative ideas. This dedication activity was taken from 300 students who were active in the Indo Global Mandiri University accounting study program. The results of community service activities show that students who take part in the MBKM program can provide considerable benefits such as competence, comprehension, innovation challenges, soft skills and hard skills, skills using competent hardware and software. Students are expected to be able to create new ideas in broader socialization of MBKM such as apprenticeships at companies and exchange of learning between campuses that already have an MOU
Making Eco-enzyme Formulation for Students of SMAN 1 Larangan Brebes District Through Community Service
Authors: Riyanta Aldi Budi , Tivani Inur , Nurcahyo Heru
Published: October 2023

Law No. 18 of 2008 was enacted by the Government in the context of waste management. One of the waste in question is organic waste such as orange peel. In order to realize the activities of the tri darma and environmental-based “adiwiyat”a schools at SMA N 1 Larangan, community service activities related to the manufacture of eco-enzymes were held. This community service activity aims to increase knowledge about the processing of organic waste from orange peel into eco-enzymes in the form of training on making eco-enzymes to improve eco-enzyme-based waste treatment skills. The method of activities carried out includes preparation in the form of activities in the laboratory of DIII pharmacy Politeknik Harapan Bersama, implementation in the form of providing education and training to students and evaluation in the form of pre-tests and post tests to measure the increase in student knowledge.  The results of this community service activity have been adjusted to the purpose of this service, namely to increase students' knowledge and skills by 58.6% based on a questionnaire survey shortly before and after the training activity for making eco-enzymes and processed products.
ОБГРУНТУВАННЯ ПРОЦЕСУ ПІДГОТОВКИ БАКАЛАВРІВ СПЕЦІАЛЬНОСТІ 017 ФІЗИЧНА КУЛЬТУРА І СПОРТ ДО ТРЕНЕРСЬКОЇ ДІЯЛЬНОСТІ З ІГРОВИХ ВИДІВ СПОРТУ
Authors: МОСЕЙЧУК Юрій , КУРНИШЕВ Юрій
Published: October 2023

У статті охарактеризовано особливості професійної підготовки майбутніх фахівців фізичної культури та спорту до тренерської діяльності з ігрових видів спорту. До основних напрямів формування професійної спрямованості бакалаврів фізичної культури та спорту можна віднести як активізацію загально педагогічної підготовки, налагодження міжпредметних зв’язків дисциплін  різних  циклів,  удосконалення  практик,  використання педагогічних  ситуацій  у  процесі  навчання,  формування  у  майбутніх тренерів з виду спорту позитивного ставлення і потреби в регулярній самоосвіті та самовихованні.

Матеріали дослідження можуть бути використані у освітньому процесі закладів освіти при викладанні фахових спортивних та методичних дисциплін, спецсемінарів для  професійної підготовки бакалаврів фізичної культури і спорту до тренерської діяльності з ігрових видів спорту, для підготовки майбутніх фахівців до фізкультурно-оздоровчої діяльності; у процесі подальшого розвитку стратегій формування фізичної культури студентів в період реформування освітньої системи України.

Діючи в умовах науково-технічної революції, він поставлений в такі умови, коли йому необхідно не тільки багато знати і вміти, а й бути підготовленим професійно, фізично і психічно. Відмінною рисою наукових публікацій останніх років є зміщення акценту при розгляді зазначених проблем в бік підвищення ролі освітньо-виховної спрямованості фізичного виховання і занять спортом як головної умови ефективності формування фізичної культури особистості.

Водночас теоретичний аналіз наукових досліджень свідчить, що проблема підготовки майбутніх фахівців ще не достатньо досліджена в педагогічній теорії, а тому не знайшла належного відображення в практичній діяльності навчальних закладів.
The change of antibiotic resistance rates over the years in Enterococcus spp. isolated from clinical specimens
Authors: GEDİK Tuğba , KİRAZ Nuri , DURAN Hülya
Published: October 2023

Aims: The aim of this study was to retrospectively evaluate the change in antibiotic resistance rates of Enterococcus species isolated from various clinical samples of outpatients and inpatients in our hospital over the years.

Methods: Between January 2018 and December 2021, various clinical samples sent to Tekirdağ Namık Kemal University Hospital Microbiology Laboratory from outpatients, inpatients and intensive care patients were retrospectively examined. The samples were inoculated on 5% sheep blood agar, chocolate agar and EMB agar media according to their types and incubated at 37°C. The blood cultures were performed by BACTEC 1280 System (Becton Dickinson, MA, USA). Bacterial identification and antimicrobial sensitivity tests were made using conventional methods and automated systems.

Results: A total of 417 Enterococcus strains were isolated in our laboratory at four years and included in the study. Of the 417 isolates, 204 (48.9%) were isolated from male patients and 213 (51.1%) from female patients. The mean age of the patients was 57.79±22.9 years (0-96 years). It was determined that 36.9% of the isolates belonged to outpatients, 33.4% to inpatients and 29.7% to intensive care unit patients. Of the 122 enterococci isolates identified as species, 49.2% were typed as Enterococcus faecalis (E. faecalis) and 40.2% as Enterococcus faecium (E. faecium). Of the 417 isolates, 60.4% were isolated from urine samples, 24.2% from blood samples, and 8.9% from wound samples. Considering the total antibiotic resistance rates; ampicillin was 34.9%, ciprofloxacin was 46.4%, vancomycin was 8.4%, tigecline was 3.2%, high-level gentamicin was 49.0%. Linezolid and nitrofurantoin resistance were not detected. Ampicillin and vancomycin resistance rates were determined to have a statistically significant increase within four years. Ampicillin, ciprofloxacin, vancomycin and high-level gentamicin resistance rates were found to be significantly higher in isolates obtained from inpatients and intensive care patients compared to enterococcal isolates obtained from outpatients.

Conclusion: In our study, it was determined that antibiotic resistance in enterococcal isolates, which are the causative agents of infection in our hospital, increased over the years. In this way, determining the change in antibiotic resistance rates is beneficial in determining appropriate antibiotic use policies. It is thought that conducting surveillance studies on antibiotic resistance periodically and taking new measures according to changing antibiotic resistance rates will be beneficial in terms of treatment.
Characteristics and effects of headaches on quality of life in individuals with epilepsy in Çorum province of Turkey
Authors: ELİAÇIK Sinan , AYKAÇ Serdar
Published: October 2023

Aims: Varying headache prevalence rates have been reported in individuals with epilepsy in the literature. This study was investigate the frequency and types of headaches in individuals with epilepsy, and the impact of headaches on the clinical features and quality of life in this patient group.

Methods: 150 individuals with epilepsy, 83 female and 67 male, were included in the study sample by random sampling method. Headaches were primarily defined as pre-ictal, ictal, and post-ictal headaches according to the temporal relationship with seizures. Headaches that were not temporally related to seizures were defined as inter-ictal headaches. Types and features of participants’ headaches were evaluated using the headache questionnaire consisting of 35 questions. Individuals’ quality of life was evaluated using the Quality of Life in Epilepsy Inventory (QOLIE-10).

Results: Of the 150 participants included in the study, 73.33% had generalized, 20% focal, and 6.66% combined generalized focal epilepsy, and 41.33% had accompanying headache complaints. Of the participants with headaches, 35.48% were male and 64.51% were female. Inter-ictal headache, which was detected in 72.58% participants, was the most common type of headache. Tension and migrainous type headaches were more common among participants with inter-ictal headache, whereas migrainous type headaches were more common among participants with pre- and post-ictal headaches. There were statistically significant differences in the scores obtained from all three subscales of QOLIE-10 inventory between the participants with and without headache. Accordingly, quality of life was worse in the headache group than in the headache-free group (p
Ultrasonic shear-wave elastography: a novel method for assessing the tumor grade in endometrial cancer: a prospective study
Authors: DESTEGÜL Emre , ÇAKIR PEKÖZ Burçak , SEYFETTİNOĞLU Sevtap , BAŞ Sevda , ADIGÜZEL Fikriye Işıl , NARİN Mehmet
Published: October 2023

Aims: To evaluate the diagnostic performance of the real time shear-wave elastography in patients with endometrial cancer in terms of tumor grade and myometrial invasion depth preoperatively.

Methods: In this prospective observational study, forty-eight women who were diagnosed with endometrioid type endometrium cancer in our gynecologic oncology clinic of a tertiary hospital between September 2020-January 2021 in Turkey. All patients underwent an ultrasonographic shear-wave measurements. Mean shear-wave values were measured from the tumor itself. Mean elasticity values were assessed in terms of tumor grade and myometrial invasion depth.

Results: The median [%25-%75] shearwave value of the participants was 29.45kPa (5.02-167.21). Shear-wave value for grade 3 endometrial cancer showed a statistically significant difference compared to grade 1 and 2 shear-wave values (p0.05). ROC curve analysis showed significant results to determine the myometrial invasion depth and grade 3 endometrial cancer with the mean shear-wave cut-off values of 28.29 kPa and 57 kPa respectively (p
Quality analysis of YouTube videos in the management of hyperlipidemia in adults
Authors: TAŞTEMUR Mercan , MORDAĞ ÇİÇEK Ceren
Published: October 2023

Aims: We aimed to evaluate the quality of video content about hyperlipidemia and its treatment on YouTube which is used as an information source.

Methods: This study has a cross-sectional design. A hundred videos were reviewed. Journal of the American Medical Association (JAMA) score, Global quality score (GQS), modified DISCERN and Hyperlipidemia YouTube Score (HYS) were used for the quality analysis of the videos. Video duration (minutes), time since upload (months), Number of views/comments/likes were analyzed.

Results: GQS was 1.58±0.94 for Turkish videos and 2.28±1.21 for English videos (p
Comparative analysis of laparoscopic inguinal hernia surgical training videos on WebSurg vs YouTube platforms: a quality evaluation
Authors: ERTEKİN Süleyman Çağlar
Published: October 2023

Aims: Minimally invasive surgical techniques, particularly laparoscopic methods for inguinal hernia repair, have gained popularity due to their benefits such as reduced postoperative pain and faster recovery. This study aimed to compare the educational quality of laparoscopic inguinal hernia surgical training videos between YouTube and WebSurg platforms.

Methods: Using the keyword “laparoscopic inguinal hernia” we selected and analyzed top 20 videos based on popularity on both platforms. The study examined video sources, duration, likes, views, upload year, coverage of the entire surgical procedure, and evaluation scores (Global Quality Scale-GQS, American Medical Association-JAMA scores, modified DISCERN score, LAP-VEGaS criteria).

Results: YouTube predominantly featured private hospitals/organizations (30%) and physicians (45%), while WebSurg showcased academic institutions (75%). Notably, YouTube hosted mostly edited/abbreviated videos (95%), whereas WebSurg presented a balanced distribution of full-length (50%) and edited/abbreviated (50%) videos. While engagement metrics were comparable, WebSurg consistently achieved higher evaluation scores across various criteria, including modified DISCERN, GQS, JAMA, and LAP-VEGaS (p
Internal Representation and Shepard’s Law in an Artificial Haptic System
Authors: Serrano Claudia , Miralles David
Published: October 2023

In nature, the generalization in object recognition is based not in the stimuli space but the internal representation as Shepard proposed in his Universal Law of Generalization. The fact that this law applies to many biological system gives it its universal character. The extension of this universality to artificial systems remains to be studied. In this paper, we present how an artificial agent generates the internal representation of a collection of stimuli from a previous experience. More-over, from the internal representation and the classification of the artificial agent, we are already able to verify Shepard’s law. It should be noted that the presented methodology is independent of the classifier. In our case, we have applied it to an artificial system that captures haptic information from a collection of stimuli. We have verified that the relationship between the perceived distances in the internal representation and the probability of confusion between stimuli follows Shepard’s law. Verifying compliance with this law in artificial systems and studying its implications can be relevant to understanding generalization in learning.
Cognitive Similarity Through Bibliometric Analysis
Authors: Marco-Tordera Lucas , García-Costa Daniel , Grimaldo Francisco
Published: October 2023

Cognitive similarity is a fundamental concept in the peer review process and the research funding programs. It can help to find qualified experts in a field in the refereeing or evaluation process. The main objective of this work is to find an automatic way to determine cognitive similarity based on bibliographic information retrieval using the Scopus database. In this paper, we will compare different measures of cognitive similarity between pairs of authors through the whole publication portfolio of both. These measures are based on the authors’ publications and citations, at different levels of depth of authorship and citation networks. We have applied bibliographic coupling and text-based techniques. We have expressed these measures as cosine similarity. For this work, we use a small empirical case study with authors in the fields related to artificial intelligence to compare the measures of cognitive similarity. The results of this study show that the use of combined measures using bibliographic coupling and text-based can provide more information on the cognitive similarity between a pair of authors.
Identifying Patterns Between Acoustic Environment and Visual Landscape Through Semantic Segmentation Based on Deep Learning
Authors: Giacalone Riccardo , Guerrero-Mosquera Carlos , Sevillano Xavier
Published: October 2023

This work is part of the research project “Sons al Balcó” conducted by La Salle - Universitat Ramon Llull, which examines the impacts of noise pollution on human perception and mental health, specifically focusing on the perception of noise in Catalonia during the lockdown in 2020 and the return to normalcy in 2021. The purpose of this research is to identify patterns between the soundscape and the visual landscape of participants’ environments. To achieve this, we have developed a pipeline to automatically analyse the visual landscape of participants’ environments by semantically segmenting the keyframes of their videos using deep neural networks. Specifically, we use the SegFormer model, a Transformer-based framework for semantic segmentation that integrates Transformers with lightweight MLP decoders. This pipeline facilitates the efficient and accurate identification of different objects, to understand the complex relationships among the acoustic environment, visual landscape, and human perception. We expect that our findings will offer insights into the design of urban and suburban areas that promote well-being and quality of life.
Petri-Nets-Based Controllers Generation Using Genetic Programming
Authors: Garcia-Sanchez Carlos A. , Velasco Manel , Angulo Cecilio , Martí Pau , Camacho Antonio
Published: October 2023

Existing research has shown the effectiveness of genetic strategies in generating Petrin-Net (PN)-based controllers, but limitations exist in the ease of controller generation due to the designer’s ability and the system’s complexity. In the case of automated controller generators based on genetic programming (GP), limitations arise from the static nature of their chromosome over the evolution process. In this short paper we introduce a first discrete PN-based controller designer that can accept systems modeled either continuously or discretely, making it more flexible in handling a wide range of systems. By utilizing genetic algorithms and PNs, the program can generate controllers tailored to the specific requirements of a given system, including the optimal size of the controller. This novel approach has the potential for far-reaching applications in various fields.
Development of an Automated CBCT Nerve and Teeth Segmentation Tool Based on Deep Learning
Authors: Caselles Vicent , Piedra Wenceslao , Casas Jordi , Burgos Xavier Paolo , Prados Ferran
Published: October 2023

This long abstract details the translation work from research to industry that stems from the collaboration between a research group in Applied Data Sciences and a digital dentistry start-up, with the aim of developing a deep learning-based nerve and teeth segmentation tool for aiding dentist treatment decision-making and diagnosis.
Recommenders for Improved Lesson Planning in Formal Education
Authors: Garcia-Calvés Pere , Sabater-Mir Jordi , Aramendia Pablo , Corominas Jordi , Perez Ruchat Bryan Miguel
Published: October 2023

This paper presents a system that combines a multi-recommender mechanism and an iterative algorithm to assist teachers in formal education in planning learning activities for students. It aligns with the latest educational trends, emphasising the central role of competencies. The system allows for initial planning based on specified competencies and knowledge, among other preferences. After that, it helps with alternative suggestions during the course when deficiencies in the learning of competencies are detected.
Explainable Machine Learning Models for Predicting COVID-19 Cases in Catalonia Based on Wastewater Monitoring Data
Authors: Ribalta Marc , Pueyo-Ros Josep , Corominas Lluis , Béjar Ramón , Mateu Carles , Rubión Edgar
Published: October 2023

Surveillance of infectious diseases that can spread quickly among the population has become a critical goal nowadays due to the dramatic effect of diseases like SARS-CoV-2. One promising method to be able to monitor the spread of such diseases among the population of a city is the analysis of biological compounds in the sewage network of different cities. In this paper, we summarize the results of training a prediction model for SARS-CoV-2 cases based on historical biological data collected from different wastewater treatment plants (WWTP) located in different parts of Catalunya. We consider different approaches for the prediction problem and develop models based on extreme gradient boosting. Finally, we evaluate the quality of the results of our model and study the relevance of the different variables of the model using SHapley Additive exPlanations (SHAP) analysis.
Reconstruction of the LHCb Calorimeter Using Machine Learning: Lessons Learned
Authors: Valls Canudas Núria , Vilasís-Cardona Xavier , Calvo Gómez Míriam , Golobardes Ribé Elisabet
Published: October 2023

In particle physics experiments, calorimeters are in charge of measuring the energy of incoming particles. In order to correctly estimate and evaluate the energy and other properties of these particles, a process, called reconstruction, is required. Because of the amount of collisions and the data-flow, reconstruction algorithms need to be time savvy. The nature of the problem seems appropriate for deep neural networks, yet the approach shows constraints. This paper presents the application to the calorimeter of LHCb in the first upgrade phase under the so-called Real Time Analysis framework, which is in charge of processing 30 MHz of data in real time, with its pros and cons.
Predicting the Perceptual Rating of a Soundscape Using Artificial Intelligence
Authors: Bonet-Solà Daniel , Vidaña-Vila Ester , Alsina-Pagès Rosa Ma.
Published: October 2023

The Sons al Balct’o project was a citizen science initiative that started during the lockdown consisting in collecting videos recorded in domestic balconies during 2020 and 2021, along with perceptual questionnaires about the soundscape. It has developed into a citizen science project that aims at analyzing the quality of urban quiet places. In previous work, we applied artificial intelligence techniques to automatically detect and classify acoustic events present on the videos. However, to better understand the impact of these events on people’s lives, it is important to consider their perception of the soundscape. In this work, we propose a method to incorporate perceptual data into the acoustic event detection algorithm. Specifically, we aim to predict users’ perception of the soundscape based on their responses to the questionnaires. Our target is to train a machine learning model to predict the perceptual rating of a soundscape based on the acoustic events and their acoustic features present in a location. When completed, our work will enable a more comprehensive and accurate assessment of the soundscape, taking into account both objective acoustic features and subjective perceptual responses.
An Application to Measure Consensus on Customers’ Ratings Using Hesitant Fuzzy Linguistic Term Sets
Authors: Abuasaker Walaa , Nguyen Jennifer , Agell Núria , Ruiz Francisco J. , Sánchez Mónica
Published: October 2023

In this study, we propose a methodology using hesitant fuzzy linguistic term sets to aggregate rating values. The main idea is to define an integrated methodology for collaborative platforms involving individuals that use the same set of linguistic terms with different semantics. The objective is to fuse the opinions of different profiles of reviewers or customers when assessing an alternative. The proposed approach allows considering previous assessments to give personalized meaning to a set of linguistic terms. To this end, the concepts of linguistic perceptual maps and projections among perceptual maps are introduced to model and aggregate reviewers’ different profiles. Finally, we compute a measure of consensus to capture the agreement among reviewers’ opinions. All these concepts are applied in a real case example of rating books from Amazon to demonstrate the potential of the methodology in facilitating the evaluation and comparison of different alternatives. Using our methodology, the degree of consensus among customers can be used to rate in a more precise way the books before recommendation.
Mathematical and Computational Models for Crowdsourced Geolocation
Authors: Ballester Rocco , Labeyrie Yanis , Mulayim Mehmet Oguz , Fernandez-Marquez Jose Luis , Cerquides Jesus
Published: October 2023

Social media generate large amounts of almost real-time data which can turn out extremely valuable in an emergency situation, specially for providing information within the first 72 hours after a disaster event. Despite there is abundant state-of-the-art machine learning techniques to automatically classify social media images and some work for geolocating them, the operational problem in the event of a new disaster remains unsolved. Currently the state-of-the-art approach for dealing with these first response mapping is first filtering and then submitting the images to be geolocated to a crowd of volunteers, assigning the images randomly to the volunteers. In this work we evaluate the potential of artificial intelligence (AI) to assist emergency responders and disaster relief organizations in geolocating social media images from a zone recently hit by a disaster by (i) building a simple model of the capabilities of each of the volunteers of the crowd; and (ii) intelligently assigning tasks to those volunteers which can perform them better. We present in this paper some new methods that outperform random allocation of tasks in a simplified, scalable scenario. Moreover, we show that for a given set of tasks and volunteers, we are able to process them with a significantly lower annotation budget, that is, we are able to make less volunteer solicitations without loosing any quality on the final consensus.
A Complete Tableau Calculus for the Regular MaxSAT Problem
Authors: Coll Jordi , Li Chu-Min , Manyà Felip , Yangin Elifnaz
Published: October 2023

We define a tableau calculus for solving the Maximum Satisfiability problem of regular propositional logic (Regular MaxSAT). Given a multiset of regular clauses Φ, we prove that the calculus is sound in the sense that if the minimum number of contradictions derived among the branches of a completed tableau for Φ is m, then the minimum number of unsatisfied clauses in Φ is m. We also prove that it is complete in the sense that if the minimum number of unsatisfied clauses in Φ is m, then the minimum number of contradictions among the branches of any completed tableau for Φ is m. Furthermore, we describe how to extend the proposed calculus to solve Regular MaxSAT in the case where we consider weighted formulas.
Community-Centered Epidemic and Pandemic Information and Engagement Platform, the Hive
Authors: Briand Sylvie , Latinovic Ljubica , Yau Brian , Hess Sarah , Lee John , Nguyen Tim
Published: October 2023

The COVID-19 pandemic underlined that communities are key in sharing trusted, timely and relevant information especially during a health emergency where the overabundance of information makes it difficult to make decisions to protect one’s health. The WHO Hive project grew out of the desire to create a community-centered solution with the potential to change the way credible health information is shared, adapted, understood and used for health-related decision making before, during and after an epidemic or pandemic. The Hive online platform provides a safe space for knowledge-sharing, discussion, and collaboration, including access to timely scientific information through direct engagement with WHO subject matter experts, and the true innovation lies within the platform’s ability to leverage the power of communities to crowdsource solutions to community concerns and needs. The platform is equipped with a set of synchronous and asynchronous features and tools to encourage coworking and facilitate cross-sectorial collaboration. The Hive seeks to leverage the expert communities to share resources and knowledge for epidemic and pandemic preparedness and provide an environment that is able to respond to the challenges faced in a complex information ecosystem.
A Framework to Diagnose Autism Spectrum Disorder Using Morphological Connectivity of sMRI and XGBoost
Authors: Gupta Vaibhavi , Manoj Gokul , Bhattacharya Aditi , Singh Sengar Sandeep , Mishra Rakesh , Kar Bhoomika R. , Srivastava Chhitij , Agastinose Ronickom Jac Fredo
Published: October 2023

In this study, we automated the diagnostic procedure of autism spectrum disorder (ASD) with the help of anatomical alterations found in structural magnetic resonance imaging (sMRI) data of the ASD brain and machine learning tools. Initially, the sMRI data was preprocessed using the FreeSurfer toolbox. Further, the brain regions were segmented into 148 regions of interest using the Destrieux atlas. Features such as volume, thickness, surface area, and mean curvature were extracted for each brain region, and the morphological connectivity was computed using Pearson correlation. These morphological connections were fed to XGBoost for feature reduction and to build the diagnostic model. The results showed an average accuracy of 94.16% for the top 18 features. The frontal and limbic regions contributed more features to the classification model. Our proposed method is thus effective for the classification of ASD and can also be useful for the screening of other similar neurological disorders.
How Interoperability Challenges Are Addressed in Healthcare IoT Projects
Authors: Pournik Omid , Mukherjee Teesta , Ghalichi Leila , Arvanitis Theodoros N.
Published: October 2023

The rapid development and implementation of Internet of Medical Things has made interoperability a serious challenge. In this scoping review, we provide an overview of the interoperability challenge, as reported in the health literature, and highlight the proposed solutions. After searching between January 2018 and June 2023 in Compendex via Engineering Village and PubMed, we found 18 publications. The interoperability challenges identified were device heterogeneity, system heterogeneity, data standardization, security and safety, system and architecture standard, system and workflow integration and regulatory and compliance requirements. Solutions included ontology approaches, conceptual semantic frameworks, improved standards, design of middleware, and using blockchain technology.
Application of OMOP Common Data Model for Data Integration: The Bulgarian Diabetes Register
Authors: Krastev Evgeniy , Tcharaktchiev Dimitar , Abanos Simeon
Published: October 2023

This paper considers mapping of the Bulgarian Diabetes Register(BDR) onto OMOP Common Data Model (CDM). Research results are referenced and plans for analysis of drug shortages from federated data sources are outlined.
SISTINE 3.0: Wearable System for Remote Functional Assessment of Phlebopathics
Authors: D’Angelantonio Emanuele , Lucangeli Leandro , Caramia Federico , Orsini Augusto , Venosi Salvatore , Camomilla Valentina
Published: October 2023

Phlebopathic diseases are chronic conditions that impact the health status and affect functional capacity. We developed SISTINE 3.0, a wearable system for remote monitoring of patients, and the aim of the study is to evaluate whether it can detect differences between participants with phlebology and healthy ones. Twelve patients and five healthy subjects performed a 3-metres Timed-Up-Go wearing SISTINE 3.0 system. The results support the system’s potential to discriminate participants, especially based on the linear walking and turning angular velocity.
Assessing the Landscape of Telehealth Interventions for Women’s Health: An Umbrella Review of Recent Advances Post-Pandemic
Authors: Alzubaidi Mahmood , Gilal Nauman Ullah , Alshagathrh Fahad , Agus Marco , Househ Mowafa
Published: October 2023

This umbrella review aims to provide a comprehensive overview of the use of telehealth services for women after the COVID-19 pandemic. The review synthesizes findings from 21 reviews, covering diverse topics such as cancer care, pregnancy and postpartum care, general health, and specific populations. While some areas have shown promising results, others require further research to better understand the potential of digital health interventions. The review identifies gaps in knowledge and highlights the need for more rigorous and comprehensive research to address the limitations and gaps identified in the current evidence base. This includes prioritizing the use of standardized guidelines, quality assessment tools, and meta-analyses, as well as exploring the comparative effectiveness of different digital health interventions, the experiences of specific populations, and the cost-effectiveness of these technologies. By addressing these gaps, this umbrella review can inform future research and policy decisions, ultimately improving women’s health outcomes in the post-pandemic era.
Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression
Authors: Simeone Davide , Lenatti Marta , Lagoa Constantino , Keshavjee Karim , Guergachi Aziz , Dabbene Fabrizio , Paglialonga Alessia
Published: October 2023

Type 2 Diabetes Mellitus (T2D) is a chronic health condition that affects millions of people globally. Early identification of risk can support preventive intervention and therefore slow down disease progression. Risk characterization is also necessary to monitor the mechanisms behind the pathology through the analysis of the interrelationships between the predictors and their time course. In this work, a multi-input multi-output Gaussian Process model is proposed to describe the evolution of different biomarkers in patients who will/will not develop T2D considering the interdependencies between outputs. The preliminary results obtained suggest that the trends in biomarkers captured by the model are coherent with the literature and with real-world data, demonstrating the value of multi-input multi-output approaches. In future developments, the proposed method could be applied to assess how the biomarkers evolve and interact with each other in groups of patients having in common one or more risk factors.
The Internet of Medical Things: Opportunities, Benefits, Challenges and Concerns
Authors: Pournik Omid , Ghalichi Leila , Gallos Parisis , Arvanitis Theodoros N.
Published: October 2023

In this narrative review, we investigate the potential opportunities and benefits, as well as the challenges and concerns of integrating the Internet of Things in healthcare. The opportunities include enhanced patient monitoring and management, improved efficiency and resource utilization, personalized and precision medicine, empowering patients and promoting self-management, and data-driven decision-making, while the challenges include security and privacy risks, interoperability and integration, regulatory and compliance issues, ethical considerations and impact on healthcare professionals and patients. These challenges must be carefully weighed against the benefits before deployment of the IoMT-enabled services.
Akomodasi Komunikasi Beda Budaya Antara Manajer Asing Dengan Staff Di PT. ICC
Authors: Salsabila Devany Asri
Published: October 2023

Keanekaragaman budaya yang terjadi dalam lingkup pekerjaan, menuntut pihak-pihak yang terkait untuk beradaptasi dengan budaya lainnya. Dalam penelitian ini akan membahas bagaimana Manajer asing yang berasal dari budaya Eropa menyesuaikan dengan budaya Indonesia saat berinteraksi dengan staff Indonesia di PT. ICC Indonesia. Penelitian dilakukan untuk mengetahui bagaimana akomodasi komunikasi yang diterapkan oleh Manajer asing selama berinteraksi dengan para staff kerwarganegaraan Indonesia di PT. ICC Indonesia. Penelitian ini menggunakan pendekatan kualitatif deskriptif, dengan menggunakan teori akomodasi komunikasi menurut West dan Turner. Pengambilan data dilakukan dengan cara observasi secara langsung dan wawancara dengan beberapa informan yang memiliki hubungan erat dengan Manajer asing. Analisis data dilakukan dengan reduksi data, display data, dan verifikasi kesimpulan. Hasil yang didapatkan dari penelitian, menunjukkan bahwa Manajer asing melakukan penyesuaian konvergensi dalam berbaur dan berkomunikasi bahasa Indonesia dengan para staff di ICC. Proses penyesuaian melalui konvergensi dilakukan Manajer dengan belajar Bahasa Indonesia dan beradaptasi lebih lanjut akan budaya Indonesia. Divergensi juga dilakukan oleh Manajer dengan mempertahankan atribut budaya nya dalam perusahaan.
Tinjauan Hukum Islam Terhadap Hukum Kewarisan Masyarakat Adat Kampung Naga, Kabupaten Tasikmalaya
Authors: Khoerunnisa Rita , Muslim Aceng Akbarul , Baehaqi Eki Sirojul
Published: October 2023

Penelitian ini bertujuan untuk mengkaji aspek hukum Islam dalam konteks hukum kewarisan di masyarakat adat Kampung Naga, Kabupaten Tasikmalaya. Kampung Naga merupakan sebuah komunitas yang mempertahankan tradisi adat dan nilai-nilai budaya, termasuk sistem pewarisan harta secara turun-temurun. Penelitian ini menggali konflik atau keselarasan antara hukum Islam dan hukum adat Kampung Naga terkait pewarisan harta, serta bagaimana masyarakat mengatasi perbedaan pandangan ini. Jenis penelitian ini ialah penelitian lapangan (Field Research) dengan dengan pendekatan studi kasus, melibatkan wawancara mendalam dengan tokoh Kampung Naga, kuncen atau juru kunci, lebe adat, dan punduh adat. Penelitian ini juga menggunakan pendekatan sosiologis yaitu suatu pendekatan yang digunakan untuk melihat aspek-aspek hukum dalam interaksi sosial di dalam masyarakat, dan berfungsi sebagai penunjang untuk mengidentifikasi dan mengklarifikasi temuan bahan nonhukum bagi keperluan penelitian atau penulisan hukum. Hasil penelitian menunjukkan bahwa pelaksanaan hukum kewarisan di Kampung Naga lebih banyak dilaksanakan dengan cara hibah dan hibah wasiat dan dilakukan orang tua kepada anaknya semasa hidup. Walaupun dalam pandangan Hukum Islam hal demikian tidak dapat disebut sebagai pembagian harta warisan, namun hukum Islam tidak melarang pembagian harta sepanjang dimaknai sebagai bentuk hibah atau hibah wasiat. Penelitian ini memiliki implikasi penting dalam menyusun kebijakan hukum yang menghormati keberagaman budaya dan agama di Indonesia, serta memberikan kontribusi pada pemahaman hukum Islam dalam konteks masyarakat adat lokal.