bluuebunny/crossref_metadata_2025 huggingface dataset:
Masked Graph Neural Networks for Unsupervised Anomaly Detection in Multivariate Time Series
Authors: Xu Kang , Li Yuan , Li Yixuan , Xu Liyan , Li Ruiyao , Dong Zhenjiang
Published: August 2023

Anomaly detection has been widely used in grid operation and maintenance, machine fault detection, and so on. In these applications, the multivariate time-series data from multiple sensors with latent relationships are always high-dimensional, which makes multivariate time-series anomaly detection particularly challenging. In existing unsupervised anomaly detection methods for multivariate time series, it is difficult to capture the complex associations among multiple sensors. Graph neural networks (GNNs) can model complex relations in the form of a graph, but the observed time-series data from multiple sensors lack explicit graph structures. GNNs cannot automatically learn the complex correlations in the multivariate time-series data or make good use of the latent relationships among time-series data. In this paper, we propose a new method—masked graph neural networks for unsupervised anomaly detection (MGUAD). MGUAD can learn the structure of the unobserved causality among sensors to detect anomalies. To robustly learn the temporal context from adjacent time points of time-series data from the same sensor, MGUAD randomly masks some points of the time-series data from the sensor and reconstructs the masked time points. Similarly, to robustly learn the graph-level context from adjacent nodes or edges in the relation graph of multivariate time series, MGUAD masks some nodes or edges in the graph under the framework of a GNN. Comprehensive experiments are conducted on three public datasets. According to the experimental findings, MGUAD outperforms state-of-the-art anomaly detection methods.
An IoT Sensing Platform and Serious Game for Remote Martial Arts Training
Authors: Ishac Karlos , Bourahmoune Katia , Carmichael Marc
Published: August 2023

We propose a system for self-supported martial arts training using an IoT sensing platform and Serious Game that can also be extended for general sports training. In martial arts, it is important that the practitioner is correctly performing each technique to accurately learn and prevent injury. A common stance in all martial arts, but especially in Shaolin Kung Fu, is the horse stance or Mabu. With the pandemic, many more people adopted remote training without the presence of a professional trainer to give advice. Our developed LifeMat system, which is a novel IoT pressure-sensitive training mat, uses pressure maps and pattern recognition to accurately classify key martial arts postures, provide feedback on form, and detect when the user performs the technique incorrectly. This is presented in the form of a Serious Game we have developed named Kung Future that focuses on the Mabu stance as a case study. We tested 14 participants with three different feedback conditions and demonstrated that, on average, participants had higher performance, duration, engagement, and motivation when game feedback was active. Furthermore, user responses from the surveys suggested positive feedback for real-world and long-term use and scalability.
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
Authors: Zhou Xianzhang , Li Aohan , Han Guangjie
Published: August 2023

It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor operations in a reliable and intelligent way. However, most of the work is mainly suitable for situations where there is sufficient monitoring data of the bearings. In industrial systems, only a small amount of monitoring data can be collected by the bearing sensors due to the harsh monitoring conditions and the short time of the signals of some special motor bearings. To solve the issue above, this paper introduces a transfer learning strategy by focusing on the multi-local model bearing fault based on small sample fusion. The algorithm mainly includes the following steps: (1) constructing a parallel Bi-LSTM sub-network to extract features from bearing vibration and current signals of industrial motor bearings, serially fusing the extracted vibration and current signal features for fault classification, and using them as a source domain fault diagnosis model; (2) measuring the distribution difference between the source domain bearing data and the target bearing data using the maximum mean difference algorithm; (3) based on the distribution differences between the source domain and the target domain, transferring the network parameters of the source domain fault diagnosis model, fine-tuning the network structure of the source domain fault diagnosis model, and obtaining the target domain fault diagnosis model. A performance evaluation reveals that a higher fault diagnosis accuracy under small sample fusion can be maintained by the proposed method compared to other methods. In addition, the early training time of the fault diagnosis model can be reduced, and its generalization ability can be improved to a great extent. Specifically, the fault diagnosis accuracy can be improved to higher than 80% while the training time can be reduced to 15.3% by using the proposed method.
Optimization of Gearbox Fault Detection Method Based on Deep Residual Neural Network Algorithm
Authors: Wang Zhaohua , Tao Yingxue , Du Yanping , Dou Shuihai , Bai Huijuan
Published: August 2023

Because of its long running time, complex working environment, and for other reasons, a gear is prone to failure, and early failure is difficult to detect by direct observation; therefore, fault diagnosis of gears is very necessary. Neural network algorithms have been widely used to realize gear fault diagnosis, but the structure of the neural network model is complicated, the training time is long and the model is not easy to converge. To solve the above problems and combine the advantages of the ResNeXt50 model in the extraction of image features, this paper proposes a gearbox fault detection method that integrates the convolutional block attention module (CBAM). Firstly, the CBAM is embedded in the ResNeXt50 network to enhance the extraction of image channels and spatial features. Secondly, the different time–frequency analysis method was compared and analyzed, and the method with the better effect was selected to convert the one-dimensional vibration signal in the open data set of the gearbox into a two-dimensional image, eliminating the influence of the redundant background noise, and took it as the input of the model for training. Finally, the accuracy and the average training time of the model were obtained by entering the test set into the model, and the results were compared with four other classical convolutional neural network models. The results show that the proposed method performs well both in fault identification accuracy and average training time under two working conditions, and it also provides some references for existing gear failure diagnosis research.
Recent Advances in the Analysis of Energies
Authors: Nowak Sascha
Published: August 2023

Generally, “energies” can be defined as all the developments and applications regarding energy supply, conversion, application, and storage [...]
Conventional Anthelmintic Concentration of Deltamethrin Immersion Disorder in the Gill Immune Responses of Crucian Carp
Authors: Wu Hao , Yuan Xiping , Gao Jinwei , Xie Min , Tian Xing , Xiong Zhenzhen , Song Rui , Xie Zhonggui , Ou Dongsheng
Published: August 2023

Current treatment strategies for parasitic infectious diseases in crucian carp primarily rely on chemotherapy. As a commonly used antiparasitic agent, deltamethrin (DEL) may have the potential adverse effects on external mucosa of fish such as gills. In this study, 180 healthy juvenile crucian carp (Carassius auratus) (average weight: 8.8 ± 1.0 g) were randomly divided into three groups for 28 days, which were immersed in 0 μg/L, 0.3 μg/L, and 0.6 μg/L of DEL, respectively. The results of histological analysis revealed that severe hyperplasia in the secondary lamellae of gills was observed, and the number of goblet (mucus-secreting) cells increased significantly after DEL immersion. TUNEL staining indicated that the number of apoptotic cells increased in crucian carp gill. At the molecular level, the mRNA expression analysis revealed significant upregulation of apoptosis (caspase 3, caspase 8, and bax), autophagy (atg5 and beclin-1), and immune response (lzm, muc5, il-6, il-8, il-10, tnfα, ifnγ, tgfβ, tlr4, myd88, and nf-kb), whereas tight junction-related genes (occludin and claudin12) were downregulated after DEL immersion, suggesting that DEL immersion altered innate immunity responses and promoted mucus secretion. Moreover, tandem mass tag (TMT)-based proteomics revealed that a total of 428 differentially expressed proteins (DEPs) contained 341 upregulated DEPs and 87 downregulated DEPs with function annotation were identified between the control and DEL groups. Functional analyses revealed that the DEPs were enriched in apoptotic process, phagosome, and lysosome pathways. Additionally, DEL immersion also drove gill microbiota to dysbiosis and an increase in potentially harmful bacteria such as Flavobacterium. Overall, this study showed that DEL elicited shifts in the immune response and changes in the surface microbiota of fish. These results provide new perspectives on the conventional anthelmintic concentration of DEL immersion disorder of the gill immune microenvironment in crucian carp and theoretical support for future optimization of their practical application.
Depression in somatic hospital patients
Authors:   Federal State Budgetary Educational Institution of Higher Education ", Koroleva E.S. ,   Izhevsk State Medical Academy",   of the Ministry of Health of the Russian Federation, Izhevsk, Russia, Pakriev S.G. ,   Federal State Budgetary Educational Institution of Higher Education "Izhevsk State Medical Academy" of the Ministry of Health of the Russian Federation, Izhevsk, Russia
Published: August 2023

The purpose of this work was to assess the prevalence and socio-demographic risk factors for depression in patients of a somatic hospital in the city of Izhevsk. The study group (100 adult patients) was compiled by a continuous sampling method. The MINI 5.0.0 questionnaire and the DEPS Depression Scale were used to diagnose depression. The prevalence of current depression was 18%. Depression was more often diagnosed in patients with chronic somatic diseases (94.4%), men (66.7%), and married patients (72.2%). None of the patients with diagnosed depression applied for medical help with the corresponding complaints or received antidepressant therapy.
Jorge Cuesta : poesia a la mano
Authors: Sheridan Guillermo
Published: August 2023

« Jorge Cuesta, poésie au fil de la vie ».

Plus de soixante ans après sa mort et lors du centenaire de sa naissance, Jorge Cuesta (1903- 1942) a fait l'objet de nouvelles études qui entraînent une profonde révision de sa place dans la littérature mexicaine. Outre sa poésie assez peu étudiée jusqu'alors parce qu'une certaine critique l'avait classée parmi les « oeuvres difficiles », le lecteur dispose depuis 1964 et 1981 d'une édition de ses textes complets incluant notamment ses essais (et des témoignages dans le tome V).

La communication fait le point sur l'ensemble de cette œuvre « réunie » et dégage les apports des études biographiques, en mettant l'accent sur les vues de deux auteurs. Louis Panabière, Jorge Cuesta : itinerario de una disidencia, conçoit la biographie comme substance d'une existence et s'attache à définir la vie courte, intense et libre de Jorge Cuesta comme un tout. Au conventionnel l'homme, c'est l'œuvre, il superpose l'idée que pour Cuesta l'œuvre est sa vie, et renouvelle entièrement les perspectives herméneutiques développées jusque-là qui tendaient à opposer un Cuesta critique, rationnel, profondément savant et réfléchi, et un Cuesta lancé dans un aventure poétique solitaire, une avant-garde orgueilleuse qui l'aurait tenu séparé des autres membres du groupe des Contemporáneos.

Nigel Grant Silvester, Vida y obra de Jorge Cuesta (1984) voit l'écriture de Cuesta comme un élan de liberté, une libération érigée en système (comme l'ont pensée les surréalistes et comme l'a théorisée Reverdy). Cette liberté s'applique aussi à ses essais critiques qui visent à en communiquer l'essence à ses lecteurs. Cet élargissement donne à la poésie de Cuesta ce caractère propre à une œuvre qui ne se lit qu'en rapport avec elle-même. La communication rassemble des données sur les travaux critiques autour de cet écrivain, au Mexique (Paz, Garcia Ponce, Monistes) et en France (A. Duny, B. Ménard) et conclut sur le rôle nouveau de la critique dans la mise en valeur d'un poète d'exception.
L'homme et/ou l'œuvre. Los ojos. Vida y pasión de Antonio Berni, de Fernando Garcia
Authors: Delprat François
Published: August 2023

« El hombre, su vida y/o su obra. Los ojos. Vida y pasión de Antonio Berni,

de Fernando Garcia ».

La labor del biógrafo tiende a valorar aspectos propios de la persona que respondan a una expectativa del lector, mayormente cuando se trata de una personalidad de las Bellas Artes. Asi ocurre con el pintor argentino Antonio Berni (1905-1981) : el centenario de su nacimiento ha suscitado varias exposiciones retrospectivas y la redacción de una primera biografia compléta porel periodista Fernando Garcia. La ponencia destaca la labor de investigadory el mecanismo de búsqueda de la información en torno a la persona tanto como en torno a la obra : pintura, escultura, participación en el gran movimiento de renovación del arte asi como en la historia del compromiso del artista a lo largo del siglo XX.

La atención principal de esta biografia se aplica a una relación vivida de la creación y de la preservación de la obra, a exaltar su repercusión en el marco de Argentina y su lugar en el mundo occidental. Puede verse en este libro un ejemplo de biografia interpretativa en que la personalidad del creador explica la obra y el prestigio de la obra refuerza el talento de reportaje del biógrafo.
Hormonal Activity of Neuroendocrine Extra-Adrenal Pheochromocytoma (Paraganglioma): A Rare Case Report and Literature Review
Authors: Хусейн С.Х. , Пархоменко Л.Б. , Рукша К.Г.
Published: August 2023

Феохромоцитома и параганглиома относятся к редким гормонально-активным нейроэндокринным опухолям, встречающимся в 2–8 случаях на 1 миллион населения в год. Феохромоцитома возникает из продуцирующих катехоламины хромаффинных клеток в мозговом веществе надпочечников, тогда как параганглиома представляет собой опухоль, возникающую из хромаффинных клеток, расположенных вне мозгового вещества надпочечников – в симпатических/парасимпатических нервных ганглиях. Анатомическое расположение – единственный способ различить эти опухоли из-за их эквивалентных гистопатологических характеристик. Известно, что феохромоцитома и параганглиома (PPGL) обладают гормональной активностью из-за гиперсекреции катехоламинов. Анатомическая локализация катехоламин-секретирующей опухоли и признаки избыточного выброса катехоламинов необходимы для диагностики PPGL. Эти опухоли уникальны не только с точки зрения их клинических проявлений, которые включают множество симптомов, вызванных высвобождением катехоламинов, но также с точки зрения биологии опухоли и прогноза заболевания. Хирургическое удаление опухоли является основным видом лечения. Применение альфа-адреноблокаторов (феноксибензамин или доксазозин) до операции демонстрирует улучшение гемодинамической стабильности.

Pheochromocytoma and paraganglioma are considered rare neuroendocrine tumours, and estimated to be 2–8 cases per million inhabitants. Pheochromocytoma is derived from catecholamine producing chromaffin cells in the adrenal medulla, whereas paraganglioma is a tumor arising from chromaffin cells located outside the adrenal medulla – sympathetic/ parasympathetic neural ganglia. Anatomical location is the only way to distinguish between these tumours because of their equivalent histopathological characteristics. Pheochromocytoma and paraganglioma (PPGL) are known to have hormonal activity due to catecholamine oversecretion. The anatomical localization of the CA-secreting tumor and evidence of excessive catecholamine release are both necessary for the diagnosis of PPGL. These tumors are unique not only in terms of their clinical presentations, which include a variety of symptoms brought on by the release of catecholamines, but also in terms of tumor biology and the prognosis for the disease. Surgical removal of the tumour is the mainstay of the treatment. The use of alpha-blockers (phenoxybenzamine or doxazosin) preoperatively demonstrates improved haemodynamic stability.
Analisa Kebutuhan Instrumentasi Geoteknik Dry Dam Bendungan Sawangan Kabupaten Minahasa Utara
Authors: Zaky Farhan , Nugroho Hari , Edhisono Sutarto
Published: August 2023

Located in the downstream watershed, Manado city is at risk of hydrometeorological disasters such as flooding every year, especially in conjunction with high tides. One solution to the city's flooding problem is to provide flood water storage by building the Sawangan dry dam in North Minahasa Regency. In building a dam, dam safety is a very important requirement to minimize disaster risks for the community such as property losses and damage to infrastructure downstream of the dam. Dam safety is highly dependent on the accuracy of planning and during construction. The safety of a dam also depends on the operation stage, the implementation of maintenance, as well as intensive and continuous supervision, monitoring the behavior of the dam and its building facilities. The purpose of the geotechnical instrumentation analysis study of Sawangan Dam in North Minahasa Regency is to determine the ideal geotechnical instrumentation needs in the process of optimal and periodic observation of dam behavior. Geotechnical parameters affect dam behavior due to soil strength related to pore water pressure, water seepage, deformation characteristics of foundation and embankment materials during construction and after construction. Determination of the amount of geotechnical instrumentation installed at Sawangan Dam is based on technical data of the dam dimensions. Based on the analysis conducted, the required geotechnical instrumentation components are; pore water pressure gauges, dam deformation gauges installed inside and outside the embankment, groundwater level gauges, seepage gauges, reservoir water level gauges, and other supporting components. By installing geotechnical instrumentation using telemetry systems or integrated computer systems, data acquisition, management and security are easier.
The Role of Women in the Economic Contribution to the Household Economy: Employment Analysis Paid and Unpaid
Authors: Minot Smith Sell , Russell Omvedt Morini , Creswell Dush , Eagly Pesando , Marson Ferrant
Published: August 2023

This research offers a comprehensive examination of women's economic contributions to the household economy, encompassing both paid employment and unpaid labor. Through a multifaceted analysis, the study delves into the intricate landscape of women's roles, challenges, and the transformative potential of initiatives aimed at fostering gender equality. The findings reveal the expanding participation of women in various sectors of paid employment, highlighting its positive impact on economic empowerment, household income, and overall economic growth. Equally significant is the unveiling of women's unpaid labor—caregiving, emotional support, and household chores—often rendered invisible within traditional economic frameworks. The research underscores the urgency of recognizing and valuing these contributions to rectify historical oversight and more accurately depict women's impact on households and economies. However, persistent gender inequities, unequal distribution of household responsibilities, and resistance to change present challenges that require targeted policy interventions and cultural shifts. Through collective action, encompassing policy changes, cultural transformations, and inclusive attitudes, societies can leverage the diverse economic roles of women to pave the way for a more equitable and prosperous future
Comparative Analysis of Legal Protection and Psychological Impact on Child Victims of Sexual Violence: A Study of Jurisdiction A and Jurisdiction B
Authors: Sihotang Anton Adreas , Situmorang Sarma , Dediono Dediono , Siahaan Manahara
Published: August 2023

Child victims of sexual violence face significant legal and psychological challenges that can vary based on the jurisdiction they reside in. This research presents a comparative analysis of the legal protection and psychological impact experienced by child victims of sexual violence in two jurisdictions, Jurisdiction A and Jurisdiction B. The study employs a mixed-methods approach, combining legal framework analysis and psychological impact assessment to examine the interplay between legal safeguards and psychological well-being. The legal framework analysis reveals that Jurisdiction B offers more comprehensive legal protection for child victims, characterized by higher age of consent and well-structured reporting mechanisms. In contrast, Jurisdiction A has a lower age of consent and less robust reporting mechanisms, potentially leaving certain cases inadequately addressed. Psychological impact assessments of child victims in both jurisdictions indicate that Jurisdiction B's stronger legal protection correlates with lower levels of psychological distress. Child victims in Jurisdiction A tend to experience higher levels of anxiety and fear due to insufficient legal protection. Conversely, those in Jurisdiction B report a greater sense of security and empowerment, leading to less severe psychological impact. The findings underscore the positive correlation between effective legal protection and positive psychological outcomes for child victims of sexual violence. Moreover, a holistic approach involving collaboration between legal and psychological sectors is crucial to support the healing and recovery of child victims. However, this study acknowledges its limitations in generalizing results across different contexts and cultures
Sequential and Correlated Image Hash Code Generation with Deep Reinforcement Learning
Authors: YÜZKOLLAR Can
Published: August 2023

Image hashing is an algorithm used to represent an image with a unique value. Hashing methods, which are generally developed to search for similar examples of an image, have gained a new dimension with the use of deep network structures and better results have started to be obtained with the methods. The developed deep network models generally consider hash functions independently and do not take into account the correlation between them. In addition, most of the existing data-dependent hashing methods use pairwise/triplet similarity metrics that capture data relationships from a local perspective. In this study, the Central similarity metric, which can achieve better results, is adapted to the deep reinforcement learning method with sequential learning strategy, and successful results are obtained in learning binary hash codes. By taking into account the errors of previous hash functions in the deep reinforcement learning strategy, a new model is presented that performs interrelated and central similarity based learning.
Üçlü Au-Ag-Cu, Al-Cu-Si ve Dörtlü Al-Cu-Mg-Si Alaşım Sistemlerinin Viskozite Değerleri
Authors: ARSLAN Hüseyin
Published: August 2023

Bu çalışmada, üçlü Au-Ag-Cu sıvı alaşım sisteminin, Al-Cu-Si sıvı alaşım sisteminin ve dörtlü Al-Cu-Mg-Si sıvı alaşım sisteminin viskoziteleri altının, aliminyumun ve bakırın bir fonksiyonu olarak Au-Ag-Cu (xAg / xCu=0.543) 1373 K de, Alx(Cu50-Si50)(1-x), Cux(Al50-Si50)(1-x) 1375 K de ve Al-Cu7.6-Mg1.99-Si34.76 1500 K de farklı geometrik modeller kullanılarak hesaplanmıştır. Tüm sonuçlar, özellikle de Muggianu modeli ile hesaplanan sonuçlar, deneysel sonuçlarla iyi bir uyum göstermiştir. xSi = xCu, xMg / xCu = r ve r = 0.1, 0.5, 1 oranlarda Al-Cu-Mg-Si alaşımlarının viskozitelerinin alüminyumun bir fonksiyonu olarak büyük bileşimsel bağımlılık gösterdiği ve Al kompozisyonunun (0.4-0.8) arasındaki değerlerine eşlik eden viskozite değerlerinin max. ve min. (1.4-0.3) mPas olduğu görüldü.
Detection of Autistic Spectrum Disorder Using Artificial Neural Network
Authors: ÖZDEMİR Şeyma Nur , YILDIZ Kazım
Published: August 2023

Autistic Spectrum Disorder (ASD) is a neuro-developmental disorder that is congenital or manifests with a delay in social relations and physiological development at an early age, and also causes problems in communication. It is possible to reduce the effect of the disease on individuals with early diagnosis. However, detecting ASD at an early age requires time and cost. In the studies conducted in recent years, it is seen that there is a serious increase in ASD cases. In order to prevent this increase, decision support systems should be established for early diagnosis. It is important to develop decision support models to diagnose ASD, especially for children aged 12-36 months. In this study, a model was developed that can help in detecting ASD with high accuracy for 12-36 months old children. The data set used in the created model was collected from the mobile application named ASDTests developed by Thabtah. In the estimation phase, four different machine learning algorithms which are support vector machine, Naive Bayes,Random Forest and Artificial Neural Network were used. In the classification process, high success rate was obtained with artificial neural network, random forest classifier.
Emet Espey Konsantratör Tesisi Düşük Tenörlü Kolemanit Konsantresinin Hidrosiklon ile Bor İçeriğinin Yükseltilmesi
Authors: SAYIN Zehra Ebru , YİĞİT Ayşegül , SAVAŞ Mehmet
Published: August 2023

Bu çalışmada, Kütahya Emet Espey Konsantratör Tesisinde üretilen, ancak tenörünün düşük olması nedeniyle, sektörde ve/veya bor rafine ürünü borik asit üretiminde kullanılamayan -3 + 0 mm tane boyut dağılımına sahip, %32 - 38 B2O3 tenörlü kolemanit konsantresinin hidrosiklon ile bor içeriğinin yükseltilmesi amaçlanmıştır. Beslenen malzemenin yaklaşık %5’ini oluşturan düşük tenörlü ürün, stok sahalarında yaklaşık 500.000 ton birikmiş durumda olup, tesisin tasarımı gereği halen de üretilmeye devam edilmektedir. -3 + 0 mm tane fraksiyonunda olan bu düşük tenörlü ürünün kullanılabilir tenör olan en az %42 B2O3 içeriğine yükseltilmesi amacıyla yapılan çalışmaya kil açma/dağıtma işlemi ile başlanmıştır. Yapılan elek analizi sonuçları ile 1 mm tane boyutu üzerinde kalan ve malzemenin ağırlıkça %31’ini oluşturan kısmının %46,26 B2O3 içeriğine sahip olduğu tespit edilmiştir. 1 mm tane boyutu altında kalan malzeme ile yapılan hidrosiklon çalışmalarında ise, en uygun sonuçlara %10 katı/sıvı oranında, 8 mm vortex - 6,4 mm apex çıkış çaplarında ve 1 bar besleme basıncında ulaşılmıştır. Elde edilen kullanılabilir konsantre tenörünün %44,73 B2O3, veriminin ise %98,44 B2O3 olduğu tespit edilmiştir.
ALGORITHM FOR OPTIMIZING THE MOVEMENT OF A MOUNTED MACHINETRACTOR UNIT IN THE HEADLAND OF AN IRREGULARLY SHAPED FIELD
Authors: TRENDAFILOV Krasimir , TIHANOV Galin , STOYKOVA Vanya , SHIVACHEVA Galya
Published: August 2023

Increasing the productivity of machine tractor units when cultivating the field is achieved by reducing the work time, which usually relates to seeking the shortest path of the unit in the field. Reducing the length of headland turns, which account for the largest proportion of the unit non-working moves, will result in higher productivity as well as less soil compaction in the headland. The article presents an algorithm for selection of a turn in the headland of a field of irregular shape. Existing theoretical correlations have been used to determine the length of the non-working move and the headland width when making T-turns. The selection of a turn is made on the basis of the minimum length of the non-working move, after which the width of the needed headland for the selected turn is calculated. This algorithm can be added to the on-board computer of the unit thus providing a more efficient way of moving, automatically generating a headland and following the trajectory of the selected turn by the unit.
Projeto Democratização: Relato de Experiência com adolescentes Acolhidos na Cidade de Campo Grande - MS
Authors: Muller Braga Mariana , Martins de Souza Edmara , Lima Hinoue Gabriela
Published: August 2023

Este relato tem por objetivo apresentar a experiência do projeto de extensão Democratização: construindo valores, da Universidade Católica Dom Bosco (UCDB), que está em andamento desde o ano de 2021. A extensão universitária vem para cumprir o papel social da universidade, auxiliando nas soluções de demandas e atendendo aos interesses da população. A partir da necessidade das instituições de atendimento socioassistencial e dando escuta às necessidades local, o projeto tem por finalidade desenvolver atividades de apoio sociopedagógico que favoreçam o fortalecimento dos vínculos familiares e comunitários, educação financeira, desenvolvimento do autoconhecimento, formação para convivência, ética, cidadania, autoconfiança e resiliência, a fim de contribuir com o projeto de vida de adolescentes acolhidos, por meio de metodologias ativas como gamificação, dinâmicas de grupo, dentre outras. Na sua execução, esta proposta se compromete com as diretrizes conceituais da extensão, tendo como foco seus pilares e dentre eles, a dialogicidade. As ações ocorrem em parceria entre o projeto de extensão e a Instituição atendida, isto é, a Unidade de Acolhimento Institucional de adolescentes masculina vinculada à Secretaria Municipal de Assistência Social de Campo Grande - MS.  As atividades são interdisciplinares e ocorrem com acompanhamento e supervisão docente. Sob a vertente dialógica, a proposta procura levar em consideração a pluralidade e a diversidade, marcas intrínsecas da democracia com pauta na escuta, escolha, coautoria e corresponsabilidade. Espera-se que as ações conjuntas resultem em atitudes individuais e coletivas, que poderão impactar positivamente a realidade dos adolescentes atendidos, diminuindo as desigualdades sociais, na construção de novos valores.
Technical Report Evaluation and study of radon occupational exposure levels in dams: a case study of the Gallery of Medau Zirimilis Dam (Sardinia, Italy)
Authors: Mousavi Aghdam Mirsina
Published: August 2023

Protection of people from radon exposure in workplaces is an important factor in decreasing lung cancer risk. International authorities have set ‘reference levels’ to control enhanced radon exposure. Radiometric investigations, including in-situ radon measurements and laboratory gamma-spectroscopy, were carried out to monitor the radon exposure and define the radon transfer model in the workplaces of Medau-Zirimilis Dam in Sardinia. It was found that a shale formation is the main source of radon accumulated in the gallery of this dam. The water passing through the bedrock transports a considerable amount of sediments containing uranium-bearing minerals. Outgassing of radon from water flowing in the drainage canal and its accumulation due to poor ventilation could be the main reasons for the enhanced indoor radon level. The methodology introduced here can be adopted in underground workplaces like mines and tunnels to understand the natural radiation hazard and the effectiveness of the possible mitigation strategies.
Microscopic piezoelectric response of poly (3-hydroxybutyrate-co-3-hydroxyhexanote) fiber
Authors: Takarada Jun , Okawa Yuma , Nakagawa Isamu , Tsuneishi Hiroshi , Tajitsu Yoshiro
Published: August 2023

Microscopic piezoelectric response of a poly (3-hydroxybutyrate-co-3-hydroxyhexanote) (PHBH) fiber, a polymer more biodegradable than poly (lactic acid) (PLA), are observed. The crystallization of PHBH fibers is enhanced by the annealing, and a strong piezoelectric response is observed in the particles. Different positive and negative piezoelectric responses are observed within a single PHBH fiber particle by lateral piezoresponse force microscopy. The piezoelectric response of PHBH fiber is suggested to be due to piezoelectricity, since the molecular chain of PHBH fiber has a helical structure similar to that of PLA and cellulose. In addition, the deformation is confirmed to be a displacement corresponding to particles of 100–300 nm in diameter.
Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS
Authors: Hore Soumyadeep , Nguyen Quoc , Xu Yulun , Shah Ankit , Bastian Nathaniel , Le Trung
Published: August 2023

Packet-based network intrusion detection systems (NIDS) allow for real-time detection, making this research area crucial. This study compares autoencoder models for anomaly detection in packet-based NIDS. It presents a framework for implementing an autoencoder-based NIDS using packet data. A novel metric for reconstruction error in autoencoders is introduced. This metric is evaluated at different thresholds to compare how accurately it detects network traffic anomalies. The efficacy of autoencoder models is showcased across various network attacks and adversarial samples from public network intrusion data sets. This analysis emphasizes the strengths and limitations of different autoencoders for detecting anomalies in network traffic. The insights from this study provide valuable guidance to researchers and practitioners developing autoencoder-based network intrusion detection mechanisms.
Advances and Challenges in IoT Sensors Data Handling and Processing in Environmental Monitoring Systems
Authors: Okafor Nwamaka
Published: August 2023

Advances in IoT technologies provide a new epoch in ecological sensing leading to the deployment of millions of sensor devices to sense and monitor the environment. IoT sensors have the capacity to provide high spatial and temporal resolution data to supplement traditional data-gathering methods, thereby filling the gaps that exist within current environmental data-gathering methods.  Applications of IoT sensors in environmental monitoring are broad ranging from air quality monitoring, and monitoring of biodiverse regions including forests and peatlands to protection of endangered species. The use of IoT sensor devices in environmental monitoring, however, has raised several questions, especially pertaining to the quality of sensor data, sensor reliability,  accuracy, and in-field performance. IoT sensors are prone to failures especially when deployed for medium to longer-term monitoring, leading to the collection of erroneous data. 

A common question within the IoT research domain is how to handle IoT sensor data, especially in terms of processing, fusion with other data sources as well and analysis to glean useful insights from the data in support of effective decision-making. Several authors have proposed different data handling methods for IoT sensor data and proposed techniques have led to improvement in overall data quality and field performance of IoT sensor devices. Methods for addressing IoT sensor data analysis integration with emerging technologies, such as cloud computing, fog computing, and edge computing along with methods to make Data storage choices have also been proposed. 

This paper will survey the various methods that have been designed and developed for handling and processing IoT sensor data, especially in environmental monitoring networks, the prospects, challenges, and limitations of these methods will be examined.
Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early exercise frequency and schedule consistency
Authors: Kim Sangjoon , Swanson Veronica , Collier George , Rabinowitz Amanda , Zondervan Daniel , Reinkensmeyer David
Published: August 2023

Home-based exercises are an important component of stroke rehabilitation but are seldom fully completed. Past studies of exercise perseverance in the general public have suggested the importance of early exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) because they encourage habit formation. To test whether these observations apply after a stroke, we leveraged data from 2,583 users of a sensor-based system (FitMi) developed to motivate movement exercises at home. We grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. We found that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 days/week or more had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.
The limping nuns. Two cases of hip dislocation in a medieval female monastery
Authors: Saccheri Paola , Travan Luciana
Published: August 2023

We observed the upward displacement of the femoral heads in the skeletal remains of two females unearthed from the medieval cemetery of the monastery of Santa Maria in Valle, in Cividale del Friuli (North-Eastern Italy). Examination of bone vestiges suggests the diagnosis of hip dislocation as the consequence of developmental dysplasia of the hip. In addition, in the youngest subject the first sacral vertebra appears lumbarized and shows the unilateral defect of the right pars interarticularis. Developmental dysplasia of the hip is one of the most common congenital diseases of the musculoskeletal system in newborns. Findings suggest that the skeletons belong to two nuns, who perhaps enter monastic life precisely because of their pathology.
From morphological basic research to proposals for regenerative medicine through a translational perspective
Authors: Checchi Marta , Stanzani Virginia , Truocchio Serena , Corradini Matteo , Ferretti Marzia , Palumbo Carla
Published: August 2023

Basic research, especially morphological research, often fails to get off the ground due to scarcity of opportunities and funding. There is a need to exploit ideas, while starting from a morphological basis, to channel them into pathways with translational value: patents, trademarks, alternative experimental models, etc., aimed at formulating new proposals for applied research. 

Among the many sprouts emerging in laboratories where basic research is carried out throughout the country, one reality from Emilia Romagna region is represented by some insights from human anatomy teachers and researchers at the University of Modena and Reggio Emilia. They have developed an original idea whereby they propose to use very small bone segments (the scleral ossicles –SO) taken from the sclero-corneal boundary of lower vertebrates with protruding eyes (particularly from avian species) to supplement 3D scaffolds to be used in regenerative medicine (by triggering/improving angiogenesis and osteogenesis) for the recovery of severe bone injuries, defined as “critical size”, i.e., unable to recover autonomously. The idea was followed by the patent application and, subsequently, the filing of a trademark (Pal-OS®) concerning to SO-derivatives (powders, sticks, caps, etc.).

In times when respect for the natural environment and attention to animal health are among the relevant aspects for an ecosystem’s welfare, along with these patent and trademark a focus was developed on experimental methods alternative to animal testing, with which to be able to test the efficacy of the proposed products while respecting the 3 R’s rules, using a model already known and exploited in the past, the chorio-allantoic membrane – CAM, revisited today from an ethical perspective. 

The article traces the observations that led to the idea of patenting scleral ossicles, of filing the Pal-OS® trademark and of using the CAM model to test their validity for regenerative purposes, with the ultimate goal of underlining how morphological observations, interpreted from a translational perspective, can provide interesting insights for clinical applications.
The controversial case of Cosimo I de’ Medici (1519-1574): reflections on the interaction between anatomy and art (iconodiagnosis vs misdiagnosis)
Authors: Bianucci Raffaella , Zucchini Elisa , Galassi Francesco M. , Lippi Donatella
Published: August 2023

A recent study maintains to have identified a case of severe Graves’ disease in the bronze statue of Cosimo I de’ Medici forged by Benevenuto Cellini (between 1545 and 1547). We carefully examined the artistic sources, the medical primary sources and the paleopathological findings with the aim of showing that Cosimo I de’ Medici (1519-1574) was not affected by severe Graves’ disease. The artistic analysis of different statues and portraits of the Grand-Duke of Tuscany confirms the medical interpretation. Cosimo I was thick-necked with a well-developed laryngeal prominence of the thyroid cartilage (Adam’s Apple) and slightly bulging eyes. Plagued by obesity, Cosimo I was affected by DISH (diffuse idiopathic skeletal hyperostosis), chronic malaria, and severe osteoarthritis. The Grand Duke had a stroke on February 18th 1568, aged 49, and suffered from the sequelae for six years. Previous scholars proposed chronic cerebral vasculopathy as a possible diagnosis. We surmise that, as in modern day obese patients with DISH, he had increased risk for cardiovascular morbidity. The presence of a familiar thick-neck and a well-developed Adam’s Apple can be observed in several other members of the Medici family such Giovanni dalle Bande Nere, Cosimo I de’ Medici’s father. The same features can also be found in several other predecessors of Cosimo I such as Piero the Gouty and his sons Lorenzo the Magnificent and Giuliano de’ Medici, Pope Leo X, Giuliano de’ Medici, Duke of Nemours and Lorenzo de’ Medici, Duke of Urbino. This paper shows that the combination of literary, artistic, paleopathological sources is fundamental to correctly assess disease manifestation. A constant interaction between anatomy and art is recommended so to avoid over-interpretation of pathologic conditions in personages of the past.
Presepsin: a biomarker of early-onset neonatal sepsis
Authors: Botondi Valentina , D’Adamo Ebe , Trubiani Oriana , Gazzolo Diego
Published: August 2023

Neonatal early-onset sepsis represents one of the most common diseases leading to morbidity and mortality in preterm infants. A prompt diagnosis is still a challenge in the clinical practice due to several biases affecting the current standard of care performance. In this regard, the soluble cluster of differentiation CD14 subtype, namely Presepsin, has been shown to be a promising diagnostic biomarker of sepsis in newborns. Although Presepsin provides high accuracy and short results output, its reliability in daily clinical practice is still an issue that needs further investigation. Therefore, in the present review we offer an overview of Presepsin role as diagnostic tool of early-neonatal onset sepsis.
Genotype-phenotype correlation and adaptive proteome reorganization in Marinesco-Sjögren syndrome
Authors: Ruggieri Anna Giulia , Sallese Michele
Published: August 2023

Marinesco-Sjögren Syndrome (MSS) causes cerebellar ataxia, myopathy and congenital cataracts in people carrying SIL1 mutations. SIL1 is an ATP exchange factor for BiP, the major endoplasmic reticulum (ER) chaperone involved in protein folding. SIL1 loss influences BiP activity, leading to ER stress and the activation of unfolded protein response (UPR). Purkinje cells and skeletal muscle fibers are the most sensitive cells to prolonged pathologic UPR, but adverse effects are detectable in other cell types. Currently a clear genotype-phenotype correlation is missing, due to the variable symptomatology and to the discovery of new SIL1 variants. We decided to focus our attention on two recent works providing different strategies to shed light on the pathophysiology of MSS. In the first one several cellular biomarkers have been evaluated to distinguish between malignant and benign SIL1 mutations. The other study proposed a proteomic approach to clarify adaptative mechanisms of MSS fibroblasts in response to SIL1 loss. Further investigations are needed to better understand the pathogenesis of MSS and to simplify the diagnosis in patients.
Left ventricular global longitudinal strain by speckle tracking echocardiography in hypertension: a mini-review
Authors: Coccina Francesca , Scurti Rosa , Trubiani Oriana , Pierdomenico Sante D.
Published: August 2023

The aim of this mini-review is to report current knowledge about left ventricular systolic function assessed by global longitudinal strain in hypertensive patients with and without left ventricular hypertrophy, that is, stage A and B heart failure. We conducted a literature search through PubMed, Web of science and Cochrane Library by using terms such as myocardial strain, speckle tracking echocardiography, systolic dysfunction, left ventricular hypertrophy, left ventricular geometry, essential hypertension. We identified 2 meta-analyses including 30 studies, 1 review including 8 studies and 5 other studies. The evaluation of published studies suggests that global longitudinal strain is significantly reduced in hypertensive patients than in normotensive subjects, despite normal ejection fraction. This alteration may be present in both patients with and without left ventricular hypertrophy, though it is more relevant in those with left ventricular hypertrophy. Global longitudinal strain is a more sensitive marker for early abnormalities of left ventricular function and can be of greater help than conventional methods in predicting hypertensive disease progression and outcomes. However, the prevalence of left ventricular longitudinal dysfunction in hypertension, its predicting factors and its clinical relevance are not yet completely clear. Thus, other studies are needed to shed further light on this topic.
Off-line or on-line? – near-peer assisted anatomy education in the time of Covid-19 pandemic – a single center randomized controlled study
Authors: Domański Jurand , Wanat Marta , Ciach Jacek , Osuch Angelika , Kurc-Darak Bożena , Woźniak Sławomir , Domagała Zygmunt
Published: August 2023

The COVID-19 pandemic significantly changed the way anatomy classes were carried out, depriving students of practical learning using real anatomical specimens. Once COVID restrictions were lifted and students returned to a normal class setting a randomized study was carried out to elevate effectiveness of practical anatomy didactics. The aim of this study was to evaluate the impact of an anatomy workshop based on demonstrating anatomical structures delivered in a face-to-face format, and to compare it with a standard course based on online learning. The randomization involved 350 students from whom 80 participants were drawn to form both a study and control group. The study consisted of three parts: exam 1, workshop, exam 2. The study group participated in all parts of the project, while the control group participated only in the exam. The workshop was held by near peer teachers (NPT). Statistical analysis showed that participation in the workshop had an effect on the passing score of exam 2 (p=0.039). It was also shown that the difference in scores was significantly higher (p=0.049) in the study group compared to the control group. The study proved that the workshops which were based on demonstrating anatomical structures by NPT significantly affected the scores obtained by trainees. In conclusion, the project confirmed the importance of student interaction with anatomical specimens and that online teaching is not a substitute for teaching in a dissecting room. Additionally, this study confirmed the high usefulness of NPT as a support for the didactic process conducted by experts.