“…És esperança de tots que aquest constant anar i venir servesca per a aprendre que només la pau i l'entesa han portat la prosperitat als pobles. …”
Texto completo en Odilo

“…Les proves d’screening cognitiu són eines útils i ràpides amb aquesta finalitat però cal que siguin més sensibles i específiques per orientar correctament el diagnòstic. Progressivament cal anar fent el seguiment del rendiment cognitiu per identificar possibles involucions. …”
Accés lliure

“…I augura que de cara al futur les coses poden anar encara pitjor, i que la majoria d'universitats podrien desaparèixer en els pròxims vint anys. …”

Tabla de Contenidos: “…Jerusalem Temple / The origin and date of the Volute capitals from the Levant / Comparative aspects of the Aramean siege system at Tell Eṣ-Ṣāfi/Gath / Egyptian-type pottery at Late Bronze Age Megiddo / Tel Reḥov in the Assyrian period : squatters, burials, and a Hebrew seal / The Shephelah according to the Amarna letters / Reconsidering the buildings in Area A at Edomite Buseirah / The Persian Period city wall of Jerusalem / Phoenician clay masks from Tel Dor / The waters of Shiloah (Isaiah 8:5-8) / On the toponymy of the Jezreel Valley and adjacent plains / Reexamining area DD at Megiddo / Ruin cults at Iron Age I Hazor…”
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Tabla de Contenidos: “…Front Matter -- Supervised Machine Learning: Algorithms and Applications / Shruthi H Shetty, Sumiksha Shetty, Chandra Singh, Ashwath Rao -- Zonotic Diseases Detection Using Ensemble Machine Learning Algorithms / K Bhargavi -- Model Evaluation / Ravi Shekhar Tiwari -- Analysis of M-SEIR and LSTM Models for the Prediction of COVID-19 Using RMSLE / S Archith, C Yukta, HR Archana, HH Surendra -- The Significance of Feature Selection Techniques in Machine Learning / N Bharathi, BS Rishiikeshwer, T Aswin Shriram, B Santhi, GR Brindha -- Use of Machine Learning and Deep Learning in Healthcare-A Review on Disease Prediction System / R Radha, R Gopalakrishnan -- Detection of Diabetic Retinopathy Using Ensemble Learning Techniques / Anirban Dutta, Parul Agarwal, Anushka Mittal, Shishir Khandelwal, Shikha Mehta -- Machine Learning and Deep Learning for Medical Analysis-A Case Study on Heart Disease Data / AM Swetha, B Santhi, GR Brindha -- A Novel Convolutional Neural Network Model to Predict Software Defects / Kumar Rajnish, Vandana Bhattacharjee, Mansi Gupta -- Predictive Analysis of Online Television Videos Using Machine Learning Algorithms / Jeyavadhanam B Rebecca, VV Ramalingam, V Sugumaran, D Rajkumar -- A Combinational Deep Learning Approach to Visually Evoked EEG-Based Image Classification / Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee -- Application of Machine Learning Algorithms With Balancing Techniques for Credit Card Fraud Detection: A Comparative Analysis / Shiksha -- Crack Detection in Civil Structures Using Deep Learning / Bijimalla Shiva Vamshi Krishna, BS Rishiikeshwer, J Sanjay Raju, N Bharathi, C Venkatasubramanian, GR Brindha -- Measuring Urban Sprawl Using Machine Learning / Keerti Kulkarni, P A Vijaya -- Application of Deep Learning Algorithms in Medical Image Processing: A Survey / B Santhi, AM Swetha, AM Ashutosh -- Simulation of Self-Driving Cars Using Deep Learning / M K Rahul, Praveen L Uppunda, Raju S Vinayaka, B Sumukh, C Gururaj -- Assistive Technologies for Visual, Hearing, and Speech Impairments: Machine Learning and Deep Learning Solutions / K C Shahira, C J Sruthi, A Lijiya -- Case Studies: Deep Learning in Remote Sensing / Jenifer A Emily, N Sudha -- Index…”

Tabla de Contenidos: “…In-order traversalPre-order traversal; Post-order traversal; Searching for values in a tree; Searching for minimum and maximum values; Searching for a specific value; Removing a node; Removing a leaf node; Removing a node with a left or right child; Removing a node with two children; More about binary trees; Summary; Chapter 9: Graphs; Graph terminology; Directed and undirected graphs; Representing a graph; Adjacency matrix; Adjacency list; Incidence matrix; Creating the Graph class; Graph traversals; Breadth-first search (BFS); Finding the shortest paths using BFS…”

Tabla de Contenidos: “…Example - Call center with many consultants -- Priority queues -- Example - Call center with priority support -- Circular queues -- Example - Gravity roller coaster -- Summary -- Chapter 6: Dictionaries and Sets -- Hash tables -- Example - phone book -- Dictionaries -- Example - product location -- Example - user details -- Sorted dictionaries -- Example - encyclopedia -- Hash sets -- Example - coupons -- Example - swimming pools -- "Sorted" sets -- Example - removing duplicates -- Summary -- Chapter 7: Variants of Trees -- Basic trees -- Implementation -- Example - hierarchy of identifiers -- Example - company structure -- Binary trees -- Traversal -- Implementation -- Example - simple quiz -- Binary search trees -- Implementation -- Example - BST visualization -- Self-balancing trees -- AVL trees -- Red-black trees -- Tries -- Implementation -- Example - autocomplete -- Heaps -- Summary -- Chapter 8: Exploring Graphs -- The concept of graphs -- Applications -- Representations -- Adjacency list -- Adjacency matrix -- Implementation -- Node -- Edge -- Graph -- Example - undirected and unweighted edges -- Example - directed and weighted edges -- Traversal -- Depth-first search -- Breadth-first search -- Minimum spanning tree -- Kruskal's algorithm -- Prim's algorithm -- Example - telecommunication cable -- Coloring -- Example - voivodeship map -- Shortest path -- Example - path in game -- Summary -- Chapter 9: See in Action -- The Fibonacci series -- Minimum coin change -- Closest pair of points -- Fractal generation -- Rat in a maze -- A Sudoku puzzle -- Title guess -- A password guess -- Summary -- Chapter 10: Conclusion -- Classification -- Arrays -- Lists -- Stacks -- Queues -- Dictionaries -- Sets -- Trees -- Graphs -- The last word -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…""SECTION OF THE CUJAVEN, WHO ARE POTTERS AND WORKERS OF CLAY""""SECTION OF THE WASHERMEN""; ""SECTION OF THE WEAVERS OF THE MALABAR COUNTRY""; ""SECTION OF LOW PEOPLE: ZIVIL TIVER""; ""MOGUER""; ""CANION""; ""AJARE""; ""MUCOA""; ""BETUA""; ""PANEU""; ""RENOLENl""; ""PULER""; ""PARENI""; ""OTHER KINDS OF PEOPLE""; ""CHETIS""; ""GUZURATES""; ""MAFULER""; ""PARDESY""; ""SECTION OF THE MANNER IN WHICH THE COUNTRY OF MALABAR IS DIVIDED, AND OF THAT WHICH GROWS IN IT""; ""CANANOR""; ""CIECATE""; ""TARMAPATAN""; ""COTAOGATO""; ""DESCRIPTION OF WHAT GROWS IN THIS KINGDOM OF CANANOR""…”
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“…Se explica así que este libro concluya con la inminencia de un traspaso que permita hacer de aquella experiencia un ejercicio cotidiano de lucidez y de andar despiertos y despiertas, atentas y cuidadosos. …”

“…En A lo lejos el cielo del sur, Joseph Andras empieza a andar por París persiguiendo a un fantasma; el de Nguyên Ai Quôc, un joven vietnamita que llegó a la ciudad en 1917, o en 1918, puede incluso que en 1919, y cuyo nombre han olvidado los mismos que recuerdan el nombre que tomó más adelante: Ho Chi Minh, líder independentista y emblema del comunismo. …”