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Marokko begeht Opferfest ohne Schlachtopfer: „König Mohammed VI. hatte die Menschen bereits im Februar von der religiösen Pflicht zum Schlachtopfer entbunden. Die »klimatischen und wirtschaftlichen Herausforderungen« machten den Aufruf zum Verzicht auf das Schlachtopfer notwendig“

Wegen Dürre: Marokko begeht Opferfest ohne Schlachtopfer
Weltweit feiern Muslime das Opferfest. In Marokko wünscht sich König Mohammed VI., auf das Schlachten von Tieren zu verzichten, wegen Dürre und Armut. Es ist nicht das erste Mal, dass er dazu aufruft.

On the arithmetic properties of partitions into parts simultaneously $4$-regular and $9$-distinct
Mohammed L. Nadji, Moussa Ahmia
https://arxiv.org/abs/2506.07704

On the arithmetic properties of partitions into parts simultaneously $4$-regular and $9$-distinct
In 2017, Keith presented a comprehensive survey on integer partitions into parts that are simultaneously regular, distinct, and/or flat. Recently, the authors initiated a study of partitions into parts that are simultaneously regular and distinct, examining them from both arithmetic and combinatorial perspectives. In particular, several Ramanujan-like congruences were obtained for $\myRD^{(\ell, t)}(n)$, the number of partitions of $n$ into parts that are simultaneously $\ell$-regular and $t$-d…

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Emmanouil Zaranis, Ant\'onio Farinhas, Saul Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K Surikuchi, Andr\'e Viveiros, Baohao Liao, Elena Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae S\'anchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, M…

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding
Despite recent progress in vision-language models (VLMs), holistic understanding of long-form video content remains a significant challenge, partly due to limitations in current benchmarks. Many focus on peripheral, ``needle-in-a-haystack'' details, encouraging context-insensitive retrieval over deep comprehension. Others rely on large-scale, semi-automatically generated questions (often produced by language models themselves) that are easier for models to answer but fail to reflect genuine und…

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
Mohammed Almutairi
https://arxiv.org/abs/2506.05490 https://

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change from in person learning traditional to online platforms. The change of learning convention has impacted the teacher-student especially in non-verbal communication. The absent of non-verbal communication has led to a reliance on verbal feedback which diminished the efficacy of the educational experience. This paper explores the integration of sentiment analysis into learning management systems (LMS)…

Trump, Modi, MBS
G7 is an Every Fascist Welcome Hangout now?
Gross
#G7 #Canada #CanPoli #CdnPoli
https://www.cbc.ca/news/politics/mohammed-bin-salman-g7-1.7556077

Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors
Mohammed Mahshook, Rudra Banerjee
https://arxiv.org/abs/2506.03844

Beyond Diamond: Interpretable Machine Learning Discovery of Coherent Quantum Defect Hosts in Semiconductors
Quantum point defects in wide bandgap semiconductors-such as the nitrogen-vacancy (NV) center in diamond are leading candidates for solid-state spin qubits due to their long coherence times and optically addressable spin states. Yet, identifying host materials capable of supporting such deep-level defects remains a significant challenge, owing to the complex interplay between chemical composition, crystal structure, and electronic environment. Here, we present a scalable, interpretable machine …

Construction of DNA codes using $\theta$-skew cyclic codes over $\mathbb{F}_4 v \mathbb{F}_4$
Jo\"el Kabore, Mohammed Elhassani Charkani
https://arxiv.org/abs/2506.01236

Construction of DNA codes using $θ$-skew cyclic codes over $\mathbb{F}_4 + v \mathbb{F}_4$
In this paper, we investigate $θ$-skew cyclic codes over the ring $R= \mathbb{F}_4 + v \mathbb{F}_4$, where $v^2=v$ and $θ$ is a non-trivial automorphism over $\mathbb{F}_4 + v \mathbb{F}_4$. This allows us to describe DNA code over this ring by characterizing $θ$-skew cyclic reversible DNA codes and $θ$-skew cyclic reversible complement DNA codes. We also explore the Gray images of $θ$-skew cyclic codes.

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
Hamidou Tembine, Issa Bamia, Massa NDong, Bakary Coulibaly, Oumar Issiaka Traore, Moussa Traore, Moussa Sanogo, Mamadou Eric Sangare, Salif Kante, Daryl Noupa Yongueng, Hafiz Tiomoko Ali, Malik Tiomoko, Frejus Laleye, Boualem Djehiche, Wesmanegda Elisee Dipama, Idris Baba Saje, Hammid Mohammed Ibrahim, Moumini Sanogo, Marie Coursel Nininahazwe, Abdul-Latif Siita, Haine Mhlongo, Teddy Nelvy Dieu Merci Kouka, Mariam Serine Jerid…

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
While global linguistic diversity spans more than 7164 recognized languages, the current dominant architecture of machine intelligence remains fundamentally biased toward written text. This bias excludes over 700 million people particularly in rural and remote regions who are audio-literate. In this work, we introduce a fully textless, audio-to-audio machine intelligence framework designed to serve this underserved population, and all the people who prefer audio-efficiency. Our contributions in…

Towards Effective Multidisciplinary Health and HCI Teams based on AI Framework
Mohammed Almutairi, Diego G\'omez-Zar\'a
https://arxiv.org/abs/2506.05226

Towards Effective Multidisciplinary Health and HCI Teams based on AI Framework
As a Ph.D. student with a diverse background in both public and private sectors, I have encountered numerous challenges in cross-disciplinary and multi-stakeholder team projects. My research on developing team compositions that involve multidisciplinary members from fields including education, academia, and health. Along with my advisor, we are focused on exploring how HCI can help individuals assemble more effective teams. This effort involves developing socio-technical systems that guide and …

Fuelprop: Fuel property prediction from ATR-FTIR spectroscopic data
Mohammed Almomtan, Emad Al Ibrahim, Aamir Farooq
https://arxiv.org/abs/2506.01601 https…

Fuelprop: Fuel property prediction from ATR-FTIR spectroscopic data
Synthetic fuels are crucial for decarbonizing the transportation sector. A significant challenge lies in the rapid and efficient characterization of these fuels. Chemometric methods using ATR-FTIR data offer a potential alternative to conventional techniques. This study expands the applicability and performance of chemometric models by providing an extensive ATR-FTIR spectral dataset and exploring various data enhancement strategies. Data enhancement was achieved by semi-supervised data generat…

Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams
Mohammed Almutairi
https://arxiv.org/abs/2506.05265 http…

Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams
Effective teamwork is essential across diverse domains. During the team formation stage, a key challenge is forming teams that effectively balance user preferences with task objectives to enhance overall team satisfaction. In the team performing stage, maintaining cohesion and engagement is critical for sustaining high team performance. However, existing computational tools and algorithms for team optimization often rely on static data inputs, narrow algorithmic objectives, or solutions tailore…