Notice bibliographique
Résumé
Climate change has led to the increase of heat exposure or natural hazard due to extreme weather. This anthropological climate change phenomenon has negatively altered the most fundamental natural resources for living organism: air, water, and soil. Air has been polluted and warming due to human activities. The quantity of freshwater keeps on depleting, while the ground water recharge intervened with chemical and biological contamination. The sustainability of soil as the natural planting media is under threat due to land use conversion and soil quality degradation. Water acidification and temperature increase have been proved to change the salinity of seawater. Those are the impact of the increasing greenhouse gas emission in the earth’s atmosphere. The 8th International Conference on Climate Change (ICCC) aims to accommodate and to discuss the regional findings related the adaptation and mitigation strategies on climate change worldwide. The meaning to hold ICCC is getting more and more important. This conference can alert the creeping disaster. The contribution of all the participants, distinguished guests to this conference would make our world better and progress our scientific knowledge. Sharing the insight into the recent research and the cutting-edge technologies should enhance our ability and it might give us the breakthrough ideas on our sustainability under climate change. ICCC would be fruitful for every participant and be a great chance to approach the scientific solution for our common goals. Faculty of Agriculture of Sebelas Maret University, Surakarta, Indonesia is very proud to organize the 8th International Conference on Climate Change (ICCC). International Conference on Climate Change has been playing a significant contribution to formulate the strategies to cope with the emerged problems due to the climate change, as well as to support the sustainable development goal achievement. Sebelas Maret University has been seriously taking part to minimize the climate change impact, by promoting environment-friend programs, such as the green campus program and prohibiting the motor-vehicle to enter the campus every month. Sebelas Maret University also realizes that the responsibility of maintaining this earth should be by everyone. Each of us plays a significant contribution to minimize the global warming of this earth. That is why Faculty of Agriculture of Sebelas Maret University organize such events to discuss the findings related the earth-protection. We hope this conference will resulting into valuable recommendations in focusing and improving the natural resources management as well as improving the human’s living efficiency to bring the greenhouse gas emission down. We need to produce alternative technologies as the climatic resilience strategies to overcome the key climate-change sensitive pathways, as well as to support the achievements some global goals in the Sustainable Development Goals (SDG). Accordingly, the topic of the 8th ICCC is “Environmental Management towards Sustainable Development Goals (SDGs) under the Changing Climate”. The 8th ICCC was organized by Faculty of Agriculture, Sebelas Maret University, Indonesia, in collaboration with Asian Institute of Technology, Thailand and The United Graduate School of Agricultural Sciences, Gifu University, Japan. The 8th ICCC was held at The Asian Institute of Technology Conference Center, Thailand from 17-18 November 2022. The 8th ICCC was conducted in the Hybrid method because travel restrictions are still enforced by some countries to prevent the spread of Covid-19. Besides, providing options for attending the 8th ICCC virtually is more comfortable for participants and presenters with limitedness of budgets. The 8th ICCC 2022 delivers great appreciation to Prof. Dr. Samanhudi, Dean of Faculty of Agriculture, Sebelas Maret University, Indonesia; Professor Dr. Shobhakar Dhakal, Vice President for Academic Affairs, Asian Institute of Technology, Thailand; and Prof. Dr. Ken Hiramatsu, Dean of United Graduate School of Agricultural Science, Gifu University, Japan; for formal support to the conference. Gratitude presented to the invited speakers: Prof. Dr. Avishek Datta from Head of Department of Food, Agriculture, and Bioresources, Asian Institute of Technology, Thailand; Prof. Dr. Eric van Hullenbusch from Institut de Physique du Globe de Paris, France; Dr. Taku M. Saitoh from Gifu University, Japan; Dr. Jauhari Syamsiyah from Sebelas Maret University, Indonesia; and Dr. James MacGregor from Eco-Plannet, Canada. List of Committee of the 8th ICCC 202 is available in this Pdf.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,524 | 0,354 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».