579 research outputs found
The Δρομοδείχτης της Ελλάδος of 1824 and Athanasios Stageirites (Τίτλος περίληψης)
No full textσ. [281]-290Κείμενο στα ελληνικά με περίληψη στα αγγλικά με τον τίτλο: The Δρομοδείχτης της Ελλάδος of 1824 and Athanasios StageiritesThe article first examines the close relationship between the publication “Δρομοδείχτης της Ελλάδος” [1824] and the publication “Ηπειρωτικά” (1819) by Athanasios Stageirites and then suggests that Athanasios Stageirites is the likeliest author of the “Δρομοδείχτης της Ελλάδος”.Δωδώνη: Τεύχος Πρώτο: επιστημονική επετηρίδα του Τμήματος Ιστορίας και Αρχαιολογίας της Φιλοσοφικής Σχολής του Πανεπιστημίου Ιωαννίνων; Τόμ. 43-44 (2014-2015
Goat-CNN: A Lightweight Convolutional Neural Network for Pose-Independent Body Condition Score Estimation in Goats
No full text<p>Here we introduce the dataset utilized in our published paper entitled "<a href="https://www.sciencedirect.com/science/article/pii/S2666154324002114">Goat-CNN: A Lightweight Convolutional Neural Network for Pose-Independent Body Condition Score Estimation in Goats</a>".</p>
<p>Contained within the "bcs" folder are all the videos collected for this study. Each video file is named with a format denoting its respective details. The first number signifies the sequence of collection, the second denotes the ear tag, and the final figure represents the body condition score (BCS) value.</p>
<p>For example: "1_158734_2.50" indicates the first sampling of an animal with the ear tag "158734" and a BCS value of "2.50".</p>
<p>Additionally, we provide two Python scripts in this repository. The first script, "Video2Frame.py", facilitates the splitting of videos into individual frames. The second script, "Frames2npy.py", converts these frames into two numpy-friendly files with the extension ".npy". These files contain both the images ("X_train_bcs300.npy") and their corresponding labels ("Y_train_bcs300.npy").</p>
<p>Furthermore, for the convenience of swift experimentation, we have included the desired .npy files within the repository.</p>
<p>To load these files into your Python environment, you can use the following code snippet:</p>
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<div>th4figs = '/content/drive/MyDrive/compag_2023/'</div>
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<div>path4images = "/content/drive/MyDrive/CodeRefarm/datasets/BCS/X_train_bcs300.npy"</div>
<div>Xtrain = np.load(path4images)</div>
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<div>path4labels = "/content/drive/MyDrive/CodeRefarm/datasets/BCS/Y_train_bcs300.npy"</div>
<div>Ytrain = np.load(path4labels).astype(float)</div>
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<div>print("X train : ", Xtrain.shape)</div>
<div>print("Y train : ", Ytrain.shape)</div>
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<pre>X train : (5332, 300, 300, 3)
Y train : (5332,)<br>
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</div><p>If you want to cite this work you can use the following text:</p>
<p>@article{TEMENOS2024101174,<br>title = {Goat-CNN: A lightweight convolutional neural network for pose-independent body condition score estimation in goats},<br>journal = {Journal of Agriculture and Food Research},<br>volume = {16},<br>pages = {101174},<br>year = {2024},<br>issn = {2666-1543},<br>doi = {https://doi.org/10.1016/j.jafr.2024.101174},<br>url = {https://www.sciencedirect.com/science/article/pii/S2666154324002114},<br>author = {Anastasios Temenos and Athanasios Voulodimos and Vera Korelidou and Athanasios Gelasakis and Dimitrios Kalogeras and Anastasios Doulamis and Nikolaos Doulamis},<br>keywords = {Body condition score, Artificial intelligence, Convolutional neural network, Precision livestock farming, Goat, Animal, Signal processing, Computer vision},<br>abstract = {Modern livestock farming systems face the challenge of meeting the growing demand for dairy and meat products while ensuring the well-being of animals. Body Condition Scoring serves as a vital process for assessing the body reserves in animals, impacting their health, welfare, and productivity. However, traditional body condition score (BCS) evaluation methods via observation and palpation of specific anatomical regions are labor-intensive and subjective, hindering their widespread adoption. To address this issue, Precision Livestock Farming (PLF) techniques, particularly those involving Internet of Things (IoT) devices and artificial intelligence (AI), have emerged as promising solutions. In this work, we explore the use of AI, specifically Convolutional Neural Networks (CNNs), to automate the assessment of BCS in goats utilizing imagery data. Our model was trained on 5000 images illustrating the dorsal view of the backside of goats achieving an overall accuracy of 97.94 % which was the highest compared to other popular deep learning architectures from literature (e.g. VGG16, ResNet34, ResNet50, DenseNet, GoogleNet). The proposed custom CNN model for goat-specific BCS estimation overcomes the limitations of manual sketching, providing automatic region identification for BCS assessment. Moreover, it is a lightweight model specifically designed for seamless integration with IoT devices, allowing for efficient on-board processing via cameras. The model's pose-independent nature and adaptability to environmental constraints make it a valuable tool for efficient and sustainable goat farming. This research advances the application of AI as a precision livestock farming tool, contributing to the reinforcement of the animal welfare and productivity, and supporting evidence-based decision-making processes to increase farms' resilience.}<br>}</p>
<p>Anastasios Temenos, Athanasios Voulodimos, Vera Korelidou, Athanasios Gelasakis, Dimitrios Kalogeras, Anastasios Doulamis, Nikolaos Doulamis,<br>Goat-CNN: A lightweight convolutional neural network for pose-independent body condition score estimation in goats,<br>Journal of Agriculture and Food Research,<br>Volume 16,<br>2024,<br>101174,<br>ISSN 2666-1543,<br>https://doi.org/10.1016/j.jafr.2024.101174.<br>(https://www.sciencedirect.com/science/article/pii/S2666154324002114)<br>Abstract: Modern livestock farming systems face the challenge of meeting the growing demand for dairy and meat products while ensuring the well-being of animals. Body Condition Scoring serves as a vital process for assessing the body reserves in animals, impacting their health, welfare, and productivity. However, traditional body condition score (BCS) evaluation methods via observation and palpation of specific anatomical regions are labor-intensive and subjective, hindering their widespread adoption. To address this issue, Precision Livestock Farming (PLF) techniques, particularly those involving Internet of Things (IoT) devices and artificial intelligence (AI), have emerged as promising solutions. In this work, we explore the use of AI, specifically Convolutional Neural Networks (CNNs), to automate the assessment of BCS in goats utilizing imagery data. Our model was trained on 5000 images illustrating the dorsal view of the backside of goats achieving an overall accuracy of 97.94 % which was the highest compared to other popular deep learning architectures from literature (e.g. VGG16, ResNet34, ResNet50, DenseNet, GoogleNet). The proposed custom CNN model for goat-specific BCS estimation overcomes the limitations of manual sketching, providing automatic region identification for BCS assessment. Moreover, it is a lightweight model specifically designed for seamless integration with IoT devices, allowing for efficient on-board processing via cameras. The model's pose-independent nature and adaptability to environmental constraints make it a valuable tool for efficient and sustainable goat farming. This research advances the application of AI as a precision livestock farming tool, contributing to the reinforcement of the animal welfare and productivity, and supporting evidence-based decision-making processes to increase farms' resilience.<br>Keywords: Body condition score; Artificial intelligence; Convolutional neural network; Precision livestock farming; Goat; Animal; Signal processing; Computer vision</p>
Novel Feed Ingredients: Improving Health Status, Milk and Meat Quality in Small Ruminants
No full textMilk and meat products originating from small ruminants contain biologically active compounds, such as high-quality proteins, vitamins, minerals and fatty acids that have been proven to have beneficial effects on human nutrition, metabolism and health. However, the raising consumer demands for safe animal products of high nutritional value has reshaped the direction of livestock production and food industry. Currently, research efforts are focused on the development of niche functional products that fortify human health and are in harmony with the concept of sustainable production, green economy, environmental protection, and proper health and welfare status of farm animals. Innovative feeding strategies are therefore evaluated that could promote ruminal function, enhance animal health and welfare status, increase production yield, improve quality of milk and meat products and prolong their shelf life by minimizing environmental burden and production costs
Dataset in support of the Southampton doctoral thesis 'The boatbuilding tradition of the Aegean during the Late Neolithic – Early Bronze Age periods. Typological classification, digital reconstruction and seakeeping assessment'
No full textDataset in support of the Southampton doctoral thesis 'The boatbuilding tradition of the Aegean during the Late Neolithic – Early Bronze Age periods. Typological classification, digital reconstruction and seakeeping assessment' Appendix D - Resistance data and Appendix C - Stability data.
This dataset is focused on two appendices:
Appendix D - Resistance data. D.1 Resistance data produced by the author via MAXSURF Resistance for this thesis.
Appendix C - Stability data
C1. Stability data – STIX and ISO criteria, produced by the author via MAXSURF Stability software for his thesis
This research was funded by Southampton Marine and Maritime Institute (SMMI), Vice-Chancellor's Scholarship, Greek Archaeological Committee UK (GACUK)
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Investigation of the relationship between lameness, milk production and rearing methods of Chios dairy sheep
No full textThe overall objective of the present study was to investigate the incidence of lameness in Chios dairy sheep flocks. Two further objectives were to assess the effect of rearing methods on incidence of lameness and the effect of lameness on milk yield of ewes. Finally, the genetic profile of the breed, concerning resistance to footrot, was assessed. The research was carried out in three consecutive stages. The first stage included the epidemiological investigation of lameness and the assessment of the relationship between lameness and rearing methods. Data concerning lameness and rearing methods were collected from 66 Chios sheep flocks using a questionnaire. Thereafter, 9 flocks were selected and were subject of investigation on regular visits every 14 days over one milking period, to assess the locomotion score of each individual ewe. The importance of factors affecting incidence, severity and duration of lameness was assessed using general linear models. The incidence of lameness was 6.8%. The commonest causes of lameness were footrot (66.4%), white line abscesses (16.4%) and white line disease (11.8%). The incidence of lameness was significantly lower in large size flocks (P<0.05) and in flocks that had access to grazing. Moreover, the stocking density in sheep sheds had a significant negative effect (P<0.001) on the incidence of lameness. Also, the severity of lameness was higher during winter months (P<0.05) and its duration was significantly lower in ewes treated with injectable antibiotics (P<0.05). At the second stage, the effect of lameness on milk yield was investigated. A total of 283 Chios ewes, from two flocks were used. The flocks were visited on a weekly basis. Data concerning daily milk yield of each individual ewe were collected. Comparisons of data between lame ewes and the other ewes were performed using general linear models and milk curves were calculated. Lame ewes had significantly lower (about 270 gr/ewe/day) daily milk yield (D.M.Y.) when compared to the rest of the ewes. Also, the reduction on D.M.Y. of lame ewes started before the onset of lameness and lasted several weeks causing a significant reduction on their total milk yield per lactation (almost 20%) when compared to the average flock. In the third stage, the polymorphisms of the DQA2 gene in Chios sheep were studied. A total of 385 sheep were randomly selected from 30 flocks; 18 sheep were lame due to footrot. Blood samples were collected from the 385 sheep in order to isolate DNA for further analysis. The DNA samples were analyzed and the DQA2 gene was typed using PCR-single strand conformational polymorphism. Genotypic and allelic frequencies were calculated with counting and the effect of the DQA2 gene on footrot was assessed using a general linear model. A total of 20 DQA2 genes and 78 genotypes were detected in the sampled population. Allele K and genotype KK were the most common (with prevalence being at 31.7% and 12.0%, respectively). The overall effect of genotype on the prevalence of footrot was statistically significant (P<0.05), whereas allele Ε was associated with higher susceptibility to footrot.Η παρούσα ερευνητική εργασία είχε ως στόχο τη διερεύνηση της συχνότητας εμφάνισης χωλοτήτων σε ποίμνια προβάτων της γαλακτοπαραγωγού φυλής Χίου. Ταυτόχρονα, μελετήθηκαν οι επιπτώσεις των μεθόδων εκτροφής στη συχνότητα εμφάνισης χωλοτήτων, καθώς και η επίδραση των χωλοτήτων στην γαλακτοπαραγωγή των προβατίνων. Τέλος, διερευνήθηκε το γενετικό υπόβαθρο της φυλής σε ό,τι αφορά την ανθεκτικότητά της στην ποδοδερματίτιδα. Η έρευνα πραγματοποιήθηκε σε τρεις αυτοτελείς φάσεις. Η πρώτη φάση αφορούσε στην επιδημιολογική διερεύνηση των χωλοτήτων και την εκτίμηση της σχέσης μεταξύ χωλότητας και μεθόδων εκτροφής. Συλλέχθηκαν στοιχεία που αφορούσαν στις χωλότητες και στις μεθόδους εκτροφής από 66 ποίμνια της φυλής Χίου με τη συμπλήρωση ερωτηματολογίου. Στη συνέχεια, επιλέχτηκαν 9 ποίμνια όπου γίνονταν επισκέψεις κάθε 14 ημέρες, κατά τη διάρκεια μιας περιόδου αρμέγματος, για την εκτίμηση του Δ.Κ. σε όλες τις προβατίνες. Η εκτίμηση των παραγόντων που επηρεάζουν τη συχνότητα εμφάνισης, τη σοβαρότητα και τη διάρκεια των χωλοτήτων έγινε με γραμμικά στατιστικά πρότυπα. Η συχνότητα εμφάνισης χωλοτήτων ήταν 6,8%. Τα συχνότερα αίτια ήταν η ποδοδερματίτιδα (66,4%), τα αποστήματα (16,4%) και η νόσος της λευκής γραμμής (11,8%). Η συχνότητα εμφάνισης χωλοτήτων ήταν σημαντικά μικρότερη στα μεγαλύτερα ποίμνια (P<0.05) και στα ποίμνια που έβγαζαν τα ζώα για βόσκηση (P<0.05), ενώ η διαθέσιμη επιφάνεια δαπέδου ανά προβατίνα στο προβατοστάσιο σχετιζόταν αρνητικά (P<0.001) με την εμφάνιση χωλοτήτων. Επίσης, η χωλότητα ήταν περισσότερο σοβαρή κατά τους χειμερινούς μήνες (P<0.05) και η διάρκειά της ήταν σημαντικά μικρότερη στα ζώα που χορηγήθηκαν αντιβιοτικά (P<0.05). Στη δεύτερη φάση, υπολογίστηκε η επίδραση των χωλοτήτων στη γαλακτοπαραγωγή. Επιλέχτηκαν συνολικά 283 προβατίνες της φυλής Χίου από δύο ποίμνια. Οι επισκέψεις στα ποίμνια γίνονταν σε εβδομαδιαία βάση. Συλλέγονταν δεδομένα ημερήσιων ατομικών γαλακτομετρήσεων για το σύνολο των ζώων. Έγιναν συγκρίσεις των ζώων με χωλότητα και των υπόλοιπων ζώων με τη χρήση γενικών γραμμικών μοντέλων και χαράχτηκαν οι καμπύλες γαλακτοπαραγωγής. Διαπιστώθηκε ότι στις προβατίνες που παρουσίαζαν χωλότητα, η μέση ημερήσια γαλακτοπαραγωγή (Μ.Η.Γ.) ήταν σημαντικά μειωμένη (περίπου κατά 270 γρ./προβατίνα/ημέρα) σε σύγκριση με τα υπόλοιπα ζώα. Επίσης, η μείωση στη Μ.Η.Γ. των ζώων με χωλότητα ξεκινούσε πριν την εκδήλωση της χωλότητας και διαρκούσε αρκετές εβδομάδες μετά την αποδρομή της, προκαλώντας σημαντική μείωση και στη συνολική γαλακτοπαραγωγή ανά γαλακτική περίοδο (μείωση περίπου 20%) σε σύγκριση με τα υπόλοιπα ζώα. Η τρίτη φάση αφορούσε στη διερεύνηση των πολυμορφισμών του γονιδίου DQA2 σε πρόβατα της φυλής Χίου. Από 30 εκτροφές επιλέχτηκαν τυχαία 385 πρόβατα, σε 18 από τα οποία είχε διαγνωστεί ποδοδερματίτιδα. Από τα 385 πρόβατα λήφθηκαν δείγματα αίματος και έγινε απομόνωση του DNA. Στη συνέχεια, η παρουσία πολυμορφισμών στο γονίδιο DQA2 διερευνήθηκε με την τεχνική PCR-single strand conformational polymorphism (SSCP). Υπολογίστηκε η συχνότητα εμφάνισης των γενοτύπων και των αλληλομόρφων, καθώς και η επίδραση του γονιδίου DQA2 στην εμφάνιση ποδοδερματίτιδας με τη βοήθεια γραμμικού προτύπου. Βρέθηκαν συνολικά 20 αλληλόμορφα του γονιδίου DQA2 (το K αλληλόμορφο ήταν το σημαντικότερο με συχνότητα εμφάνισης περίπου 31,7%) και 78 γενότυποι, από τους οποίους ο KK ήταν ο συχνότερος (12,0%). Επίσης, βρέθηκε ότι η συνολική επίδραση του γενοτύπου στην εμφάνιση ποδοδερματίτιδας ήταν σημαντική (P<0.05), ενώ το αλληλόμορφο Ε σχετιζόταν με αυξημένη ευαισθησία στη νόσο (P<0.05)
Peak power reduction algorithms in asymmetric digital subscriber line modems
No full textThesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (leaves 94-96).This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.This thesis investigates peak-to-average ratio (PAR) reduction techniques for multicarrier modulation systems, such as discrete multitone (DMT) modems and orthogonal frequency-division multiplexed (OFDM) terrestrial broadcast transmitters. Through simulation and test implementation on a state-of-the-art programmable ADSL development platform, this thesis pursues a suitable solution for minimizing PAR given the resources of a programmable platform. This solution is integrated as a prototype implementation into a fully-functional ADSL modem and optimized for maximum PAR reduction performance within modem complexity constraints.by Athanasios Dimitri Dousis.M.Eng
Homophobic Statements, a Bishop, and the Limits of Freedom of Expression. An In-Depth Commentary on ECtHR 31.08.2023, Amvrosios-Athanasios Lenis v. Greece, no. 47833/20
No full textDichiarazioni omofobe, un vescovo e i limiti della libertà di espressione. Un commento approfondito su CEDU 31.08.2023, Amvrosios-Athanasios Lenis v. Greece, no. 47833/20.
ABSTRACT: The decision of the ECtHR of 31.08.2023, Amvrosios-Athanasios Lenis v. Greece (no. 47833/20), is a further step toward an increasingly dense jurisprudence on “hate speech” and the limits of freedom of expression. The public proclamation of religious doctrines that are in conflict with the values of the contracting States enshrined in the ECHR is protected to a certain extent by the fundamental right of freedom of religion and belief. However, the qualification of a statement as religious does not justify “hate speech.” The AUTHOR shows the tension between freedom of religion, freedom of expression, and protection against discrimination, and analyzes the decision against the backdrop of Article 17 of the ECHR (prohibition of abuse of rights).
SOMMARIO: 1. Preliminary Remarks - 2. The Concept of Hate Speech - 3. The Facts of the Case - 4. The Procedure and Reasoning of the Court - 4.1 The ECtHR’s Preliminary Considerations on Fundamental Rights - 4.2 Legal assessment - 4.3 Some Remarks on (the Non-Invoked) Article 9 of the ECHR - 5. Concluding Remarks
Point-of-Care Diagnostics for Farm Animal Diseases: From Biosensors to Integrated Lab-on-Chip Devices
No full textZoonoses and animal diseases threaten human health and livestock biosecurity and productivity. Currently, laboratory confirmation of animal disease outbreaks requires centralized laboratories and trained personnel; it is expensive and time-consuming, and it often does not coincide with the onset or progress of diseases. Point-of-care (POC) diagnostics are rapid, simple, and cost-effective devices and tests, that can be directly applied on field for the detection of animal pathogens. The development of POC diagnostics for use in human medicine has displayed remarkable progress. Nevertheless, animal POC testing has not yet unfolded its full potential. POC devices and tests for animal diseases face many challenges, such as insufficient validation, simplicity, and portability. Emerging technologies and advanced materials are expected to overcome some of these challenges and could popularize animal POC testing. This review aims to: (i) present the main concepts and formats of POC devices and tests, such as lateral flow assays and lab-on-chip devices; (ii) summarize the mode of operation and recent advances in biosensor and POC devices for the detection of farm animal diseases; (iii) present some of the regulatory aspects of POC commercialization in the EU, USA, and Japan; and (iv) summarize the challenges and future perspectives of animal POC testing
Spatial Distribution of Dermanyssus gallinae Infestations in Greece and Their Association with Ambient Temperature, Humidity, and Altitude
No full textDermanyssus gallinae, the poultry red mite (PRM), is the most prevalent and harmful ectoparasite of laying hens globally. Although prevalence and risk factor studies can help veterinarians make decisions regarding farm treatments, relevant data are scarce. The present study investigated the prevalence and infestation severity of PRM in poultry farms across Greece and examined potential risk factors. AviVet traps were used to sample 84 farms (51 backyard, 33 industrial) over three years. Farm altitude, temperature, humidity, region, and production systems were assessed as potential risk factors with chi-square tests, initially for all the studied farms and then exclusively for backyard farms. The overall prevalence was 75.0% and was higher in backyard farms (80.4%) compared with industrial ones (66.7%), varying regionally from 66.7 to 90.9%. Altitude and temperature were not significant risk factors, but farms with humidity <60% had a lower infestation risk. Infestation severity did not significantly differ by risk factors. The poultry red mite is highly prevalent across Greek poultry production systems and regions. In the future, global warming, reduced acaricide options, and a ban on cage systems will all threaten a wider spatio-temporal distribution of the PRM, justifying the urgent need for effective monitoring and control methods to protect hen production and welfare and workers’ health
La tomba III di Haghios Athanasios e il valore semantico dell'incarnato
No full textThe tomb III at Haghios Athanasios stands out among the Macedonian tombs for the exceptional painted decoration of the temple-like façade. Excavated in the '90s by M. Tsimbidou-Avloniti it has been published by the scholar in full detail and the iconographic program of the monument has been the object of many publications. This article re-examines the different ways of reproducing the skin color (το ανδρείκελον) in the figures of the miniature frieze and in the megalographic figures beside the door. The realistic rendering of the megalographic figures of armed men in Macedonian attire, showing their sorrow for the lost of an etairos, is contrasting with the pale color of the participants to the symposion in the frieze above the door, a scene whose illusionistic overtone has been yet perceived by the critics. This symposion is articulated in three scenes and it can be interpeted as a necrodeipnon, but in the same time as a celebration of the Macedonian banquet style, centered on the royal court. The author suggests that the first figure on the right of the frieze, related to the group of armed men looking towards the banqueters feasting in the center of the frieze, can be read as the dead himself, for the particular rendering of his ανδρείκελον, showing the typical ochròtes or necròdes face color, according to the contemporary medical lexicon. The pathetic stance assumed by the same figure, the sole in the group which is not bearing arms, seems to confirm his role in the context of the scene
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