13,465 results on '"HADJI"'
Search Results
2. Assessment of salt tolerance in Algerian oasis wheat landraces: An examination of biochemical, physiological, and agronomical traits
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Hadji Toka, Boulacel Mouad, Fethi Farouk Kebaili, Hadji Maroua, Ghennai Awatef, and Bendif Hamdi
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Grain yield ,membership function value ,Sahara ,sa ,Agriculture - Abstract
Wheat landraces cultivated in the oases of Algeria are are know for their resistance to abiotic stresses as a result of the extreme environmental constraints of the Sahara. As such, these landraces represent valuable breeding material for improving abiotic stress tolerance in wheat. This study was conducted to evaluate salt tolerance of bread and durum wheat from the Algerian oases. Ten wheat landraces from the Algerian oases were grown under prolonged salinity stress (150 mM NaCl) in greenhouse conditions. Data were assessed for 19 physiological, biochemical, and agronomical traits. The wheat landraces exhibited considerable variation in their salinity stress tolerance. The membership function value of salt tolerance identified Oum RokbaElhamra, Khellouf and Zeghlou as the most tolerant landraces while Bourione was identified as sensitive. The salt-tolerant and moderately tolerant wheat landraces maintained stable yields under conditions of salinity stress. Regression models constructed from MFVS and salt tolerance coefficients showed that for bread wheat, amino acid content and grain yield accounted for most of the variation in MFVS, while for durum wheat, the number of grains per plant and Na+ content explained the majority of observed differences in MFVS. Correlation analysis showed that the MFVS was significantly associated with grain yield, selectivity between K+ and Na+, and plant height. The results confirm that Algerian oasis wheat landraces are a valuable source given their salt tolerance and could be utilized in breeding programs seeking to improve salinity stress resilience in wheat.
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- 2024
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3. Exploring smallholder farmers' open innovation capability: A structural equation modeling approach
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Hadji C. Jalotjot and Hiromi Tokuda
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Collaboration ,Small farmers ,Plssem ,Co-innovation ,Management. Industrial management ,HD28-70 ,Business ,HF5001-6182 - Abstract
This study determined the capability of small vegetable farmers in the Philippines to participate in an open innovation activity. Open innovation offers numerous advantages over the closed system and adopting it provides numerous benefits for the small farmers and the agriculture sector. Using knowledge generation, conversion, and sharing as the base framework, this study is premised on the idea that open innovation is facilitated by increased access to new knowledge. Data from a survey of 266 small vegetable farmers in Region IVA of the Philippines was analyzed using descriptive statistics and partial least square structural equation modeling. The results show that vegetable farmers can generate tacit knowledge and convert it into explicit knowledge. This, together with their innovation network, positive attitude towards innovation, and financial support have a positive effect on the farmers’ ability to participate in open innovation. Considering these, the innovation platform approach can be used to leverage the knowledge process and innovation networks to enhance the collaborative innovation process.
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- 2024
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4. THE FEATURES OF AESTHETIC EDUCATION FOR THE DEVELOPMENT OF VISUAL LANGUAGE OF ARCHITECTURE STUDENTS
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HADJI-BANDALAC, Mariana
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aesthetic education ,theory of aesthetic education ,practice of aesthetic education ,development of visual language ,architecture students ,Social Sciences - Abstract
This work emphasizes some theoretical and practical provisions of aesthetic education, which have an important role in the development of visual language of architecture students. The principle of integrating scientific knowledge and creative skills ensures the success of the architecture student, valuing language as a tool used in free expression. One of the solutions refers to the analysis of the architectural context and project development based on visual language skills, and brainstorming, an idea-generating activity, can be taken as a method. Another solution would be to encourage students to take responsibility for the transmission of visual language from the perspective of aesthetic values. Taking on the role of a future architect by developing analytical skills and conveying aesthetic values, the student gains experience in modelling space and effectively conveying visual images of architectural edifices.
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- 2023
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5. Geological and Mineralogical Analysis of Phosphorites in the Jebel Dhyr Syncline, Eastern Algerian Atlas
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Boulemia Salim, Hadji Riheb, Bouhlal Salah, Hamed Younes, Besser Houda, and Ncibi Kaouther
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phosphorites ,paleocene-eocene ,jebel dhyr ,xrd ,apatite group ,Mineralogy ,QE351-399.2 - Abstract
The characterization of phosphorite features within specific North African sedimentary series remains incomplete. Hence, the primary aim of this research is to determine the composition of powder patterns and phosphatic allochem fragments within the Jebel Dhyr syncline, situated in northeastern Algeria. By focusing on this region, the study endeavors to investigate the mineralogical properties and geochemical aspects of Paleocene-Eocene phosphorites in the broader context of North Africa. The methodology employed encompasses geological, petrographic, geochemical, and mineralogical analyses of the rocks. To achieve this objective, we have employed various techniques including thin section analysis, atomic absorption spectrometry, and X-ray diffraction (XRD). The geological section across the Jebel Dhyr area has revealed a succession of horizontally layered rocks. These rocks consist of eight prominent phosphorite layers interspersed with carbonate formations. Additionally, occasional thin layers of flint can be observed within these carbonate layers. XRD analysis of the whole rock established the presence of apatite group minerals such as hydroxylapatite, fluroapatite, francolite, and dahllite. Other minerals identified include carbonates, quartz, zeolites, feldspar, clays, sulphides, and gypsum. XRD recordings on the phosphatic allochem grains (pellets, coprolites, intraclasts, and shark teeth) identified different mineral phases, with coprolites and pellets showing hydroxylapatite and fluorapatite, sometimes associated with dahllite, while granules of different forms revealed hydroxylapatite associated with fluorapatite or francolite. Teeth from the Jebel Dhyr phosphate beam showed the systematic presence of fluorapatite. This study provides valuable information for the comprehensive utilization of phosphorus resources in the Algeria-Tunisia border.
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- 2023
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6. Analysis of Wildfire Susceptibility by Weight of Evidence, Using Geomorphological and Environmental Factors in the Marche Region, Central Italy
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Matteo Gentilucci, Maurizio Barbieri, Hamed Younes, Hadji Rihab, and Gilberto Pambianchi
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GIS ,wildfire ,WoE ,AUC ,TWI ,susceptibility ,Geology ,QE1-996.5 - Abstract
Fires are a growing problem even in temperate climate areas, such as those in Central Italy, due to climate change leading to longer and longer periods of drought. Thus, knowing the fire susceptibility of an area is crucial for good planning and taking appropriate countermeasures. In this context, it was decided to use only causal factors of a geomorphological and environmental nature in order to obtain a fire susceptibility analysis that can also be applied to climatically under-sampled areas. Vector data of fires in Central Italy from 2005 to 2023 were collected, and the correct areal extent was calculated for each. At the same time, six factors were selected that could have an influence on fire development, such as ecological units, topographic wetness index (TWI), geology, slope, exposure, and altitude. The model was obtained by means of the weight of evidence statistical method, which takes into account past data by reinterpreting them in a future-oriented way on the basis of the identified factors and classes. The model was validated with a test sample and shows an area under the curve (AUC) value of 0.72 with a reliability that can be described as good considering the total absence of climatic factors that are known to play a major role in fire development. Furthermore, the identified causal factors were divided into classes, and these were carefully weighted in order to define their relative influence in the study area. Particularly Ecological Units with characteristic and well-defined contrast (C) values, which could lead to a more complete definition of forests that tend to increase fire susceptibility and those that tend to decrease it, allowing the latter to be exploited as a hazard mitigation agent.
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- 2024
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7. Wear Behavior Analysis of Imperfect Functionally Graded Parts: Analytical and Experimental Techniques
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Kadum Njim Emad, Jweeg Muhsen J., Al-Maamori Mohammed H., Idan Zainab S., Al‑Waily Muhannad, Mouthanna Ahmed, and Hadji L.
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Microbiology ,QR1-502 ,Physiology ,QP1-981 ,Zoology ,QL1-991 - Abstract
A combination of an analytical solution and experimental tests was used in this study to evaluate the wear resistance of a porous functionally graded material (PFGM) structural system.A cylindrical porous sample is fabricated using 3D printing technology based on different parameters. According to ASTM standards, the sliding wear behavior of porous samples has been investigated using a Pin on the Disc Tribometer. The results showed reasonable agreement between experimental and analytical analyses, with a discrepancy of 10.434 %. This indicates that 3D printing can be suitable for manufacturing reliable viscoelastic samples. However, the porosity parameter has a significant influence on wear resistance. The porous gradation technique led to a higher experimental wear resistance of around 31% for FGM PLA samples.Morphological observation on specimen fracture surfaces was done using a scanning electron microscope (SEM) to check the PFGM layer’s nature.
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- 2024
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8. Experimental and numerical analysis of uni-axial buckling of single-phase functionally graded porous polymeric sandwich plates
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Njim Emad K., Almamuri Mohammad H., Bakhy Sadeq H., Idan Zainab S., Al-Waily Muhannad, Jweeg Mohsen J., and Hadji L.
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Microbiology ,QR1-502 ,Physiology ,QP1-981 ,Zoology ,QL1-991 - Abstract
The porosity gradient functionally graded material (PFGM) is one of the most popular types of FGM, in which the porosity in the material is made to change in the specified direction. This study looks into the buckling problems of rectangular sandwich plates made of single-phase porous functionally graded materials (PFGMs), commonly used in aircraft structures and biomedical applications. A compression test was performed on the 3D-printed polymeric FG specimens bonded with two thin solid face sheets on the upper and lower surfaces. The critical stress of well-designed and fabricated 3D printed FGM plate samples with various metal core types is determined using a PC installed on universal testing equipment (UTM). The effect of different essential parameters (such as porous ratio, gradient exponent, and aspect ratio) on buckling load and total deformation were explored.The finite element method (FEM) was used to run a numerical simulation on elastic buckling using ANSYS 2021 R1 software to validate the experimental results. The load-displacement relationships and deformed morphologies were investigated using experiments and numerical analysis. The topology arrangement and relative density of the polymer core were examined using the SEM micro-tomography test based on porosity distribution to check the resistance of the sandwich to buckling load. PETG/Al sandwich plates have been found to have critical buckling loads that are 2.52 % higher than PLA/Al sandwich plates, while TPU/Al sandwich plates show increased essential loads of buckling of 5.139 %. The FEM and experiment results show that the existence of porosity in the PLA core in the PFGM plate can reduce the buckling strength tremendously, about 10.52% and 6.8 %, respectively. It was evident that the numerical results show a good agreement with the experimental findings, with a maximum discrepancy of no more than 12 % occurring at the (TPU/Al) sandwich plate with a porosity of 30%.
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- 2024
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9. Evaluation of the residential satisfaction via a factorial analysis of the residentia environment (social housing). The case of the city of Boussaâda, Algeria
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Hadji Mohammed and Dib Belkacem
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residential satisfaction ,post-occupancy evaluation ,factor analysis ,residential environment ,social dimension ,city of boussaâda ,Geography (General) ,G1-922 - Abstract
The improvement of the quality of life within the residential environment is the ultimate objective of sustainable development, in which its environmental, economic and social dimensions are constantly identified and updated. To this end, the development of a reference framework for the actors of the housing sector can formulate new policy trends related to the planning and design of the residential environment. Post-occupancy evaluation is an appropriate method for assessing and evaluating the impact of housing policies on residents' behaviour. Then, the results of these policies are tested by measuring residential satisfaction and by determining the factors that affect it. To achieve this objective, the technique of a head-of-household interview form was used. We relied on eighteen well-known potential variables in studies related to housing satisfaction, focusing on the social dimension. A sample consisting of two social housing clusters in the city of Boussaâda, comprising 121 households was randomly selected. Finally, the data were statistically processed using a factor analysis which is the principal components method, through which four factors containing fourteen variables that control residential satisfaction were extracted.
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- 2022
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10. Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
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Noroozi, Mehdi, Hadji, Isma, Escorcia, Victor, Zaganidis, Anestis, Martinez, Brais, and Tzimiropoulos, Georgios
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Computer Science - Computer Vision and Pattern Recognition - Abstract
There has been immense progress recently in the visual quality of Stable Diffusion-based Super Resolution (SD-SR). However, deploying large diffusion models on computationally restricted devices such as mobile phones remains impractical due to the large model size and high latency. This is compounded for SR as it often operates at high res (e.g. 4Kx3K). In this work, we introduce Edge-SD-SR, the first parameter efficient and low latency diffusion model for image super-resolution. Edge-SD-SR consists of ~169M parameters, including UNet, encoder and decoder, and has a complexity of only ~142 GFLOPs. To maintain a high visual quality on such low compute budget, we introduce a number of training strategies: (i) A novel conditioning mechanism on the low resolution input, coined bidirectional conditioning, which tailors the SD model for the SR task. (ii) Joint training of the UNet and encoder, while decoupling the encodings of the HR and LR images and using a dedicated schedule. (iii) Finetuning the decoder using the UNet's output to directly tailor the decoder to the latents obtained at inference time. Edge-SD-SR runs efficiently on device, e.g. it can upscale a 128x128 patch to 512x512 in 38 msec while running on a Samsung S24 DSP, and of a 512x512 to 2048x2048 (requiring 25 model evaluations) in just ~1.1 sec. Furthermore, we show that Edge-SD-SR matches or even outperforms state-of-the-art SR approaches on the most established SR benchmarks.
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- 2024
11. FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
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Yang, Haosen, Bulat, Adrian, Hadji, Isma, Pham, Hai X., Zhu, Xiatian, Tzimiropoulos, Georgios, and Martinez, Brais
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Diffusion models are proficient at generating high-quality images. They are however effective only when operating at the resolution used during training. Inference at a scaled resolution leads to repetitive patterns and structural distortions. Retraining at higher resolutions quickly becomes prohibitive. Thus, methods enabling pre-existing diffusion models to operate at flexible test-time resolutions are highly desirable. Previous works suffer from frequent artifacts and often introduce large latency overheads. We propose two simple modules that combine to solve these issues. We introduce a Frequency Modulation (FM) module that leverages the Fourier domain to improve the global structure consistency, and an Attention Modulation (AM) module which improves the consistency of local texture patterns, a problem largely ignored in prior works. Our method, coined Fam diffusion, can seamlessly integrate into any latent diffusion model and requires no additional training. Extensive qualitative results highlight the effectiveness of our method in addressing structural and local artifacts, while quantitative results show state-of-the-art performance. Also, our method avoids redundant inference tricks for improved consistency such as patch-based or progressive generation, leading to negligible latency overheads.
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- 2024
12. ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data
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Shen, Junhong, Jain, Atishay, Xiao, Zedian, Amlekar, Ishan, Hadji, Mouad, Podolny, Aaron, and Talwalkar, Ameet
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Large Language Model (LLM) agents are rapidly improving to handle increasingly complex web-based tasks. Most of these agents rely on general-purpose, proprietary models like GPT-4 and focus on designing better prompts to improve their planning abilities. However, general-purpose LLMs are not specifically trained to understand specialized web contexts such as HTML, and they often struggle with long-horizon planning. We explore an alternative approach that fine-tunes open-source LLMs using production-scale workflow data collected from over 250 domains corresponding to 6 billion tokens. This simple yet effective approach shows substantial gains over prompting-based agents on existing benchmarks -- ScribeAgent achieves state-of-the-art direct generation performance on Mind2Web and improves the task success rate by 7.3% over the previous best text-only web agents on WebArena. We further perform detailed ablation studies on various fine-tuning design choices and provide insights into LLM selection, training recipes, context window optimization, and effect of dataset sizes.
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- 2024
13. Inborn Errors of Immunity in Algerian Children and Adults: A Single-Center Experience Over a Period of 13 Years (2008–2021)
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Brahim Belaid, Lydia Lamara Mahammed, Ouardia Drali, Aida Mohand Oussaid, Nabila Souad Touri, Souhila Melzi, Abdelhak Dehimi, Lylia Meriem Berkani, Fatma Merah, Zineb Larab, Ines Allam, Ouarda Khemici, Sonya Yasmine Kirane, Mounia Boutaba, Reda Belbouab, Hadjira Bekkakcha, Assia Guedouar, Abdelhakim Chelali, Brahim Baamara, Djamila Noui, Hadda Baaziz, Radia Rezak, Sidi Mohamed Azzouz, Malika Aichaoui, Assia Moktefi, Redha Mohamed Benhatchi, Meriem Oussalah, Naila Benaissa, Amel Laredj, Assia Bouchetara, Abdelkader Adria, Brahim Habireche, Noureddine Tounsi, Fella Dahmoun, Rabah Touati, Hamza Boucenna, Fadila Bouferoua, Lynda Sekfali, Nadjet Bouhafs, Rawda Aboura, Sakina Kherra, Yacine Inouri, Saadeddine Dib, Nawel Medouri, Noureddine Khelfaoui, Aicha Redjedal, Amara Zelaci, Samah Yahiaoui, Sihem Medjadj, Tahar Khelifi Touhami, Ahmed Kadi, Fouzia Amireche, Imane Frada, Shahrazed Houasnia, Karima Benarab, Chahynez Boubidi, Yacine Ferhani, Hayet Benalioua, Samia Sokhal, Nadia Benamar, Samira Aggoune, Karima Hadji, Asma Bellouti, Hakim Rahmoune, Nada Boutrid, kamelia Okka, Assia Ammour, Houssem Saadoune, Malika Amroun, Hayet Belhadj, Amina Ghanem, Hanane Abbaz, Sana Boudrioua, Besma Zebiche, Assia Ayad, Zahra Hamadache, Nassima Ouaras, Nassima Achour, Nadira Bouchair, Houda Boudiaf, Dahila Bekkat-Berkani, Hachemi Maouche, Zahir Bouzrar, Lynda Aissat, Ouardia Ibsaine, Belkacem Bioud, Leila Kedji, Djazia Dahlouk, Manoubia Bensmina, Abdelkarim Radoui, Mimouna Bessahraoui, Nadia Bensaadi, Azzeddine Mekki, Zoulikha Zeroual, Koon-Wing Chan, Daniel Leung, Amar Tebaibia, Soraya Ayoub, Dalila Mekideche, Merzak Gharnaout, Jean Laurent Casanova, Anne Puel, Yu Lung Lau, Nacira Cherif, Samir Ladj, Leila Smati, Rachida Boukari, Nafissa Benhalla, and Reda Djidjik
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primary immunodeficiency ,inborn errors of immunity ,Algeria ,epidemiology ,molecular diagnosis ,clinical features ,Immunologic diseases. Allergy ,RC581-607 - Abstract
BackgroundInborn errors of immunity (IEI) predispose patients to various infectious and non-infectious complications. Thanks to the development and expanding use of flow cytometry and increased awareness, the diagnostic rate of IEI has markedly increased in Algeria the last decade.AimThis study aimed to describe a large cohort of Algerian patients with probable IEI and to determine their clinical characteristics and outcomes.MethodsWe collected and analyzed retrospectively the demographic data, clinical manifestations, immunologic, genetic data, and outcome of Algerian IEI patients - diagnosed in the department of medical immunology of Beni Messous university hospital center, Algiers, from 2008 to 2021.ResultsEight hundred and seven patients with IEI (482 males and 325 females) were enrolled, 9.7% of whom were adults. Consanguinity was reported in 50.3% of the cases and a positive family history in 32.34%. The medium age at disease onset was 8 months and at diagnosis was 36 months. The median delay in diagnosis was 16 months. Combined immunodeficiencies were the most frequent (33.8%), followed by antibody deficiencies (24.5%) and well-defined syndromes with immunodeficiency (24%). Among 287 patients tested for genetic disorders, 129 patients carried pathogenic mutations; 102 having biallelic variants mostly in a homozygous state (autosomal recessive disorders). The highest mortality rate was observed in patients with combined immunodeficiency (70.1%), especially in patients with severe combined immunodeficiency (SCID), Omenn syndrome, or Major Histocompatibility Complex (MHC) class II deficiency.ConclusionThe spectrum of IEI in Algeria is similar to that seen in most countries of the Middle East and North Africa (MENA) region, notably regarding the frequency of autosomal recessive and/or combined immunodeficiencies.
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- 2022
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14. The Burden of Undernutrition and Its Associated Factors Among Children Below 5 Years of Age in Bambao Region, Comoros
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Hadji Ahamada and Bruno F. Sunguya
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undernutrition ,stunting ,wasting ,underweight ,under-five ,Comoros ,Nutrition. Foods and food supply ,TX341-641 - Abstract
BackgroundUndernutrition remains a major public health problem in low- and middle-income countries and Comoros is no exception. This study aimed to examine the prevalence and identify the risk factors of undernutrition among children under-five years in Bambao region, Comoros.MethodsThis cross-sectional study was conducted in Bambao region among 837 under-five years and their caregivers. Analyses were conducted using both descriptive and logistic regression to examine the magnitude and factors associated with stunting, wasting and underweight.ResultsPrevalence of stunting, wasting and underweight were 21.6, 13.7, and 13.6% respectively. Factors associated with stunting were caregiver's secondary education level compared to no education (AOR = 1.89, 95% CI: 1.04–3.43, P < 0.04), age of child between 13–24 months compared to 0–12 months (AOR = 2.69, 95% CI: 1.44–5.01, P < 0.001), and food insecurity (AOR = 2.55, 95% CI: 1.20–5.41, P < 0.02). Children aged 25–59 months were 78% less likely to have wasting compared to those with 0–12 months (AOR = 0.22, 95% CI: 0.10–0.51, P < 0.001). Wasting was also associated with food insecurity (AOR = 2.70, 95% CI: 1.12–6.49, P < 0.03), and low birthweight (AOR = 3.21, 95% CI: 1.73–5.94, P < 0.001). Children aged between 25–59 months were 86% less likely to have underweight compared to those aged 0–12 months (AOR = 0.14, 95% CI: 0.06–0.36, P < 0.001). Food insecurity (AOR = 2.65, 95% CI: 1.08–6.54, P < 0.03), low birthweight (AOR = 3.15, 95% CI: 1.67–5.93, P < 0.001), and non-exclusively breastfeeding (AOR = 2.37, 95% CI: 1.15–4.90, P < 0.02) were also associated with underweight.ConclusionMore than one in five children under-five is stunted in Bambao region, Comoros. Moreover, more than 13% are underweight or wasted calling for streamlined efforts to address poor feeding practices, food insecurity, low birthweight, and socio-demographic disadvantages in this and other areas with similar context.
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- 2022
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15. Sensorless backstepping control using a Luenberger observer for double-star induction motor
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Hadji Chaabane, Khodja Djalal Eddine, and Chakroune Salim
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backstepping control ,double star induction machine (dsim) drive ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
In this paper, we propose sensorless backstepping control of a double-star induction machine (DSIM). First, the backstepping approach is designed to steer the flux and speed variables to their references and to compensate uncertainties. Lyapunov”s theory is used and it demonstrates that the dynamic tracking of trajectories tracking is asymptotically stable. Second, unfortunately, this law control called sophisticated is a major problem which leads to the necessity of using a mechanical sensor (speed, load torque). This imposes an additional cost and increases the complexity of the montage. In practice, this variable is unknown and its measurement is expensive. To restrain this problem we estimate speed and load torque by using a Luenberger observer (LO). Simulation results are provided to illustrate the performance of the proposed approach in high and low variable speeds and load torque disturbance.
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- 2020
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16. Biodiversity and distribution of larvae of the genus Culex (Diptera: Culicidae) in the Gharb Region: Case of the Province of Sidi Slimane, Morocco
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Hadji Mohamed, El Assal Mohamed, El Haji Driss, Zahri Samir, El Rhaouat Omar, El Omari Fatah, Chibani Abdelkader, and Belghyti Driss
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Environmental sciences ,GE1-350 - Abstract
Mosquitoes play an important role in the transmission of many diseases as vectors of several pathogens: viral, parasitic, etc. which cause health problems to humans and even animals. The analysis of the specific composition of Culicidae in the different larval sites of the province of Sidi Slimane shows first of all that each habitat has a particular faunistic characteristic. Indeed, six species of the Culicinae family were inventoried during the 2018 hydrological cycle in the different larval sites surveyed: Culex pipiens, Culex hortensis, Culex theileri, Culex modestus, Culex brempti, Culex laticinctus. The geographical distribution of these species differs according to the requirements of each species. The physico-chemical, pedological, faunistic, floristic… etc. parameters of each environment play an important role in the biodiversity of this fauna, which explains the differences in specific richness of each larval biotope.
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- 2023
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17. Epidemiological Analysis of Cassava Mosaic and Brown Streak Diseases, and Bemisia tabaci in the Comoros Islands
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Rudolph Rufini Shirima, Everlyne Nafula Wosula, Abdou Azali Hamza, Nobataine Ali Mohammed, Hadji Mouigni, Salima Nouhou, Naima Mmadi Mchinda, Gloria Ceasar, Massoud Amour, Emmanuel Njukwe, and James Peter Legg
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surveillance ,CBSD ,CMD ,CBSIs ,CMBs ,Bemisia tabaci ,Microbiology ,QR1-502 - Abstract
A comprehensive assessment of cassava brown streak disease (CBSD) and cassava mosaic disease (CMD) was carried out in Comoros where cassava yield (5.7 t/ha) is significantly below the African average (8.6 t/ha) largely due to virus diseases. Observations from 66 sites across the Comoros Islands of Mwali, Ngazidja, and Ndzwani revealed that 83.3% of cassava fields had foliar symptoms of CBSD compared with 95.5% for CMD. Molecular diagnostics confirmed the presence of both cassava brown streak ipomoviruses (CBSIs) and cassava mosaic begomoviruses (CMBs). Although real-time RT-PCR only detected the presence of one CBSI species (Cassava brown streak virus, CBSV) the second species (Ugandan cassava brown streak virus, UCBSV) was identified using next-generation high-throughput sequencing. Both PCR and HTS detected the presence of East African cassava mosaic virus (EACMV). African cassava mosaic virus was not detected in any of the samples. Four whitefly species were identified from a sample of 131 specimens: Bemisia tabaci, B. afer, Aleurodicus dispersus, and Paraleyrodes bondari. Cassava B. tabaci comprised two mitotypes: SSA1-SG2 (89%) and SSA1-SG3 (11%). KASP SNP genotyping categorized 82% of cassava B. tabaci as haplogroup SSA-ESA. This knowledge will provide an important base for developing and deploying effective management strategies for cassava viruses and their vectors.
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- 2022
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18. GraLMatch: Matching Groups of Entities with Graphs and Language Models
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Pardo, Fernando De Meer, Lehmann, Claude, Gehrig, Dennis, Nagy, Andrea, Nicoli, Stefano, Misheva, Branka Hadji, Braschler, Martin, and Stockinger, Kurt
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Computer Science - Databases ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
In this paper, we present an end-to-end multi-source Entity Matching problem, which we call entity group matching, where the goal is to assign to the same group, records originating from multiple data sources but representing the same real-world entity. We focus on the effects of transitively matched records, i.e. the records connected by paths in the graph G = (V,E) whose nodes and edges represent the records and whether they are a match or not. We present a real-world instance of this problem, where the challenge is to match records of companies and financial securities originating from different data providers. We also introduce two new multi-source benchmark datasets that present similar matching challenges as real-world records. A distinctive characteristic of these records is that they are regularly updated following real-world events, but updates are not applied uniformly across data sources. This phenomenon makes the matching of certain groups of records only possible through the use of transitive information. In our experiments, we illustrate how considering transitively matched records is challenging since a limited amount of false positive pairwise match predictions can throw off the group assignment of large quantities of records. Thus, we propose GraLMatch, a method that can partially detect and remove false positive pairwise predictions through graph-based properties. Finally, we showcase how fine-tuning a Transformer-based model (DistilBERT) on a reduced number of labeled samples yields a better final entity group matching than training on more samples and/or incorporating fine-tuning optimizations, illustrating how precision becomes the deciding factor in the entity group matching of large volumes of records., Comment: 12 pages, 4 figures, accepted as research paper at EDBT 2025
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- 2024
19. Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
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Hadji-Kyriacou, Avelina Asada and Arandjelovic, Ognjen
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Pre-trained Language Models (LMs) exhibit strong zero-shot and in-context learning capabilities; however, their behaviors are often difficult to control. By utilizing Reinforcement Learning from Human Feedback (RLHF), it is possible to fine-tune unsupervised LMs to follow instructions and produce outputs that reflect human preferences. Despite its benefits, RLHF has been shown to potentially harm a language model's reasoning capabilities and introduce artifacts such as hallucinations where the model may fabricate facts. To address this issue we introduce Direct Preference Heads (DPH), a fine-tuning framework that enables LMs to learn human preference signals through an auxiliary reward head without directly affecting the output distribution of the language modeling head. We perform a theoretical analysis of our objective function and find strong ties to Conservative Direct Preference Optimization (cDPO). Finally we evaluate our models on GLUE, RACE, and the GPT4All evaluation suite and demonstrate that our method produces models which achieve higher scores than those fine-tuned with Supervised Fine-Tuning (SFT) or Direct Preference Optimization (DPO) alone.
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- 2024
20. Thermal conductivity reduction due to phonon geometrical scattering in nano-engineered epitaxial germanium
- Author
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Paterson, Jessy, Mitra, Sunanda, Liu, Yanqing, Boukhari, Mustapha, Singhal, Dhruv, Lacroix, David, Hadji, Emmanuel, Barski, André, Tainoff, Dimitri, and Bourgeois, Olivier
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Nano-engineering crystalline materials can be used to tailor their thermal properties. By adding new nanoscale phonon scattering centers and controlling their size, one can effectively decrease the phonon mean free path and hence the thermal conductivity of a fully crystalline material. In this letter, we use the 3$\omega$ method in the temperature range of 100-300 K to experimentally report on the more than threefold reduction of the thermal conductivity of an epitaxially-grown crystalline germanium thin film with embedded polydispersed crystalline \ch{Ge3Mn5} nano-inclusions with diameters ranging from 5 to 25~nm. A detailed analysis of the structure of the thin film coupled with Monte Carlo simulations of phonon transport highlight the role of the nano-inclusions volume fraction in the reduction of the phononic contribution to the thermal conductivity, in particular its temperature dependence, leading to a phonon mean free path that is set by geometrical constraints., Comment: Applied Physics Letters, In press
- Published
- 2024
21. Synthesis and Characterization of Novel Chalcone with good Nonlinear Optical Properties
- Author
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Benmohammed, Abdelmadjid, Hadji, Djebar, Mouchaal, Younes, and Djafri, Ayada
- Published
- 2024
- Full Text
- View/download PDF
22. Mini-review on the evaluation of thermodynamic parameters for surfactants adsorption onto rock reservoirs: cEOR applications
- Author
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Lebouachera, Seif El Islam, Boublia, Abir, Hadji, Mohamed El Moundher, Ghriga, Mohammed Abdelfetah, Tassalit, Djilali, Khodja, Mohamed, Grassl, Bruno, and Drouiche, Nadjib
- Published
- 2024
- Full Text
- View/download PDF
23. Hydrogeochemical characterization and modeling vulnerability assessment using SINTACS methods: the case of the Hennaya aquifer (NW Algeria)
- Author
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Yebdri, Lamia, Hadji, Fatiha, and Harek, Yahia
- Published
- 2024
- Full Text
- View/download PDF
24. Real-world efficacy of a teriparatide biosimilar (RGB-10) compared with reference teriparatide on bone mineral density, trabecular bone score, and bone parameters assessed using quantitative ultrasound, 3D-SHAPER® and high-resolution peripheral computer tomography in postmenopausal women with osteoporosis and very high fracture risk
- Author
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Hadji, Peyman, Kamali, Luka, Thomasius, Friederike, Horas, Konstantin, Kurth, Andreas, and Bock, Nina
- Published
- 2024
- Full Text
- View/download PDF
25. Reduced-bias estimator of the ruin probability in infinite time for heavy-tailed distributions with index in the upper half of the unit interval
- Author
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Kebe, Modou, Deme, El Hadji, Kpanzou, Tchilabalo Abozou, and Slaoui, Yousri
- Published
- 2024
- Full Text
- View/download PDF
26. Local spectral properties and ν-convergence
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Hadji, Soufiane and Zguitti, Hassane
- Published
- 2024
- Full Text
- View/download PDF
27. A note on Cline’s formula for some generalized inverses in a ring
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Hadji, Soufiane
- Published
- 2024
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28. Surgery in patients with infective endocarditis and prognostic importance of patient frailty
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Graversen, Peter Laursen, Østergaard, Lauge, Smerup, Morten Holdgaard, Strange, Jarl Emanuel, Hadji-Turdeghal, Katra, Voldstedlund, Marianne, Køber, Lars, and Fosbøl, Emil
- Published
- 2024
- Full Text
- View/download PDF
29. Sero-prevalence and associated risk factors of bovine brucellosis in Sendafa, Oromia Special Zone surrounding Addis Ababa, Ethiopia.
- Author
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Hadji Bifo, Getachew Gugsa, Tsegabirhan Kifleyohannes, Engidaw Abebe, and Meselu Ahmed
- Subjects
Medicine ,Science - Abstract
Bovine brucellosis is an infectious bacterial disease caused by members of genus Brucella, affecting both animals and humans, and resulting in a serious economic loss in animal production sector and deterioration of public health. A cross-sectional study was conducted from November 2014 to April 2015 to determine the seroprevalence and associated risk factors of bovine brucellosis in Sendafa, Oromia Special Zone, Ethiopia. A total of 503 blood samples were collected using a simple random sampling technique from dairy cattle of above 6 months of age with no history of previous vaccination against brucellosis. All sera samples were subjected to both Rose Bengal Plate Test for screening and Complement Fixation Test for confirmation. Accordingly, the overall seroprevalence of bovine brucellosis in the study area was 0.40%. The result showed that the seroprevalence of bovine brucellosis in the study area was not statistically significant with all proposed risk factors. No reactors were observed in male animals. The seroprevalence was observed in animals without previous history of abortion. Moreover, information was gathered on individual animal and farm-level risk factors and other farm characteristics using a questionnaire. Awareness among society was poor, so the positive animals can be a potential hazard to animals and humans in the study area. Therefore, public education should be done to improve the awareness of the community on bovine brucellosis and its public health impact with due consideration on the safe consumption of food of animal origin.
- Published
- 2020
- Full Text
- View/download PDF
30. Landslide Susceptibility Assessment in Constantine Region (NE Algeria) By Means of Statistical Models
- Author
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Manchar Nabil, Benabbas Chaouki, Hadji Riheb, Bouaicha Foued, and Grecu Florina
- Subjects
geographic information system ,probabilistic methods ,information value ,weight of evidence ,frequency ratio ,Engineering geology. Rock mechanics. Soil mechanics. Underground construction ,TA703-712 - Abstract
The purpose of the present study was to compare the prediction performances of three statistical methods, namely, information value (IV), weight of evidence (WoE) and frequency ratio (FR), for landslide susceptibility mapping (LSM) at the east of Constantine region. A detailed landslide inventory of the study area with a total of 81 landslide locations was compiled from aerial photographs, satellite images and field surveys. This landslide inventory was randomly split into a testing dataset (70%) for training the models, and the remaining (30%) was used for validation purpose. Nine landslide-related factors such as slope gradient, slope aspect, elevation, distance to streams, lithology, distance to lineaments, precipitation, Normalized Difference Vegetation Index (NDVI) and stream density were used in the landslide susceptibility analyses. The inventory was adopted to analyse the spatial relationship between these landslide factors and landslide occurrences. Based on IV, WoE and FR approaches, three landslide susceptibility zonation maps were categorized, namely, “very high, high, moderate, low, and very low”. The results were compared and validated by computing area under Road the receiver operating characteristic (ROC) curve (AUC). From the statistics, it is noted that prediction scores of the FR, IV and WoE models are relatively similar with 73.32%, 73.95% and 79.07%, respectively. However, the map, obtained using the WoE technique, was experienced to be more suitable for the study area. Based on the results, the produced LSM can serve as a reference for planning and decision-making regarding the general use of the land.
- Published
- 2018
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31. Peculiarities of dispersion laws of a highly excited three-level atom with an equidistant energy spectrum
- Author
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Hadji, Piotr, Korovai, Olesya, and Nadchin, L.
- Subjects
Physics ,QC1-999 ,Electronics ,TK7800-8360 - Abstract
A dispersion law for the system of three-level atoms with an equidistant energy spectrum interacting with resonant laser radiation has been obtained taking into account two successive optically allowed one-photon transitions and an optically allowed two-photon transition between the lower and upper levels. It has been shown that the dispersion law consists of three polariton branches. The effects of repulsion and attraction of branches of the dispersion law and their intersection, as well as the self-consistent variation of the photon– atom coupling constant, have been predicted.
- Published
- 2018
32. Two-dimensional para-, ortho-, and bi-magnetoexcitons interacting with quantum point vortices
- Author
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Moscalenco, Sveatoslav, Moscalenco, Vsevolod, Hadji, Piotr, Podlesnîi, Igor, Liberman, Michael, and Zubac, Ion
- Subjects
Physics ,QC1-999 ,Electronics ,TK7800-8360 - Abstract
The theory of two-dimensional (2D) magnetoexcitons was enlarged taking into account the electron–hole (e–h) exchange Coulomb interaction, which appears when the conduction and valence electrons belong partially to both bands. This Coulomb exchange interaction leads to the linear dispersion law of para-magnetoexcitons. Spectral properties and the new luminescence band, which arise owing to the existence of the metastable bound state, are discussed. The thermodynamic properties and the Bose–Einstein condensation conditions for para- and ortho-magnetoexcitons are described. Taking into account the vector potential of the Chern–Simons gauge field the anisotropy of the 2D magnetoexciton magnetic mass was revealed.
- Published
- 2018
33. Geometric Generative Models based on Morphological Equivariant PDEs and GANs
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Diop, El Hadji S., Fall, Thierno, Mbengue, Alioune, and Daoudi, Mohamed
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Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing ,Mathematics - Differential Geometry - Abstract
Content and image generation consist in creating or generating data from noisy information by extracting specific features such as texture, edges, and other thin image structures. We are interested here in generative models, and two main problems are addressed. Firstly, the improvements of specific feature extraction while accounting at multiscale levels intrinsic geometric features; and secondly, the equivariance of the network to reduce its complexity and provide a geometric interpretability. To proceed, we propose a geometric generative model based on an equivariant partial differential equation (PDE) for group convolution neural networks (G-CNNs), so called PDE-G-CNNs, built on morphology operators and generative adversarial networks (GANs). Equivariant morphological PDE layers are composed of multiscale dilations and erosions formulated in Riemannian manifolds, while group symmetries are defined on a Lie group. We take advantage of the Lie group structure to properly integrate the equivariance in layers, and are able to use the Riemannian metric to solve the multiscale morphological operations. Each point of the Lie group is associated with a unique point in the manifold, which helps us derive a metric on the Riemannian manifold from a tensor field invariant under the Lie group so that the induced metric has the same symmetries. The proposed geometric morphological GAN (GM-GAN) is obtained by using the proposed morphological equivariant convolutions in PDE-G-CNNs to bring nonlinearity in classical CNNs. GM-GAN is evaluated on MNIST data and compared with GANs. Preliminary results show that GM-GAN model outperforms classical GAN.
- Published
- 2024
34. Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
- Author
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Osterrieder, Joerg, Chan, Stephen, Chu, Jeffrey, Zhang, Yuanyuan, Misheva, Branka Hadji, and Mare, Codruta
- Subjects
Computer Science - Cryptography and Security ,Quantitative Finance - General Finance - Abstract
Blockchain technology, a foundational distributed ledger system, enables secure and transparent multi-party transactions. Despite its advantages, blockchain networks are susceptible to anomalies and frauds, posing significant risks to their integrity and security. This paper offers a detailed examination of blockchain's key definitions and properties, alongside a thorough analysis of the various anomalies and frauds that undermine these networks. It describes an array of detection and prevention strategies, encompassing statistical and machine learning methods, game-theoretic solutions, digital forensics, reputation-based systems, and comprehensive risk assessment techniques. Through case studies, we explore practical applications of anomaly and fraud detection in blockchain networks, extracting valuable insights and implications for both current practice and future research. Moreover, we spotlight emerging trends and challenges within the field, proposing directions for future investigation and technological development. Aimed at both practitioners and researchers, this paper seeks to provide a technical, in-depth overview of anomaly and fraud detection within blockchain networks, marking a significant step forward in the search for enhanced network security and reliability.
- Published
- 2024
35. You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
- Author
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Noroozi, Mehdi, Hadji, Isma, Martinez, Brais, Bulat, Adrian, and Tzimiropoulos, Georgios
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
In this paper, we introduce YONOS-SR, a novel stable diffusion-based approach for image super-resolution that yields state-of-the-art results using only a single DDIM step. We propose a novel scale distillation approach to train our SR model. Instead of directly training our SR model on the scale factor of interest, we start by training a teacher model on a smaller magnification scale, thereby making the SR problem simpler for the teacher. We then train a student model for a higher magnification scale, using the predictions of the teacher as a target during the training. This process is repeated iteratively until we reach the target scale factor of the final model. The rationale behind our scale distillation is that the teacher aids the student diffusion model training by i) providing a target adapted to the current noise level rather than using the same target coming from ground truth data for all noise levels and ii) providing an accurate target as the teacher has a simpler task to solve. We empirically show that the distilled model significantly outperforms the model trained for high scales directly, specifically with few steps during inference. Having a strong diffusion model that requires only one step allows us to freeze the U-Net and fine-tune the decoder on top of it. We show that the combination of spatially distilled U-Net and fine-tuned decoder outperforms state-of-the-art methods requiring 200 steps with only one single step.
- Published
- 2024
36. Graph Guided Question Answer Generation for Procedural Question-Answering
- Author
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Pham, Hai X., Hadji, Isma, Xu, Xinnuo, Degutyte, Ziedune, Rainey, Jay, Kazakos, Evangelos, Fazly, Afsaneh, Tzimiropoulos, Georgios, and Martinez, Brais
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,I.2.7 - Abstract
In this paper, we focus on task-specific question answering (QA). To this end, we introduce a method for generating exhaustive and high-quality training data, which allows us to train compact (e.g., run on a mobile device), task-specific QA models that are competitive against GPT variants. The key technological enabler is a novel mechanism for automatic question-answer generation from procedural text which can ingest large amounts of textual instructions and produce exhaustive in-domain QA training data. While current QA data generation methods can produce well-formed and varied data, their non-exhaustive nature is sub-optimal for training a QA model. In contrast, we leverage the highly structured aspect of procedural text and represent each step and the overall flow of the procedure as graphs. We then condition on graph nodes to automatically generate QA pairs in an exhaustive and controllable manner. Comprehensive evaluations of our method show that: 1) small models trained with our data achieve excellent performance on the target QA task, even exceeding that of GPT3 and ChatGPT despite being several orders of magnitude smaller. 2) semantic coverage is the key indicator for downstream QA performance. Crucially, while large language models excel at syntactic diversity, this does not necessarily result in improvements on the end QA model. In contrast, the higher semantic coverage provided by our method is critical for QA performance., Comment: Accepted to EACL 2024 as long paper. 25 pages including appendix
- Published
- 2024
37. Metastable bound states of two-dimensional magnetoexcitons in the lowest landau levels approximation
- Author
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Moscalenco, Sveatoslav, Hadji, Piotr, Podlesnîi, Igor, Dumanov, Evgheni, Liberman, Michael, and Zubac, Ion
- Subjects
Physics ,QC1-999 ,Electronics ,TK7800-8360 - Abstract
The possible existence of the two-dimensional bimagnetoexcitons and metastable bound states formed by two magnetoexcitons with opposite in-plane wave vectors and has been studied. Magnetoexcitons taking part in the formation of molecules look as two electric dipoles with the arms oriented in-plane perpendicular to the respective wave vectors and with the length of the arms where is the magnetic length. Two antiparallel dipoles moving with equal, yet antiparallel, wave vectors have the possibility of moving with equal probability in any direction of the plane, which is determined by the trial wave function of relative motion depending on modulus The magnetoexcitons are composed of electrons and holes situated on the lowest Landau levels with the cyclotron energies greater than the binding energy of the 2D Wannier–Mott exciton. The description has been made in Landau gauge. The spin states of two electrons have been chosen in the form of antisymmetric or symmetric combinations with parameter The effective spins of two heavy holes have been combined in the same resultant spinor states as the spin of the electrons. Because the projections of the both spinor states with are equal to zero, the influence of the Zeeman splitting effect vanishes. In the case of trial wave function , the maximal density of the magnetoexcitons in the momentum space is concentrated on the in-plane ring with radius In the approximation of the lowest Landau levels, when the influence of the excited Landau levels is neglected, stable bound states of bimagnetoexcitons do not exist for both spin orientations. Instead, in the case of and , a deep metastable bound state with the activation barrier comparable with two magnetoexciton ionization potentials has been revealed. In the case of and , only a shallow metastable bound state can appear.
- Published
- 2017
38. GraLMatch: Matching Groups of Entities with Graphs and Language Models.
- Author
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Fernando de Meer Pardo, Claude Lehmann, Dennis Gehrig, Andrea Nagy, Stefano Nicoli, Branka Hadji Misheva, Martin Braschler, and Kurt Stockinger
- Published
- 2025
- Full Text
- View/download PDF
39. GM-GAN: Geometric Generative Models Based on Morphological Equivariant PDEs and GANs
- Author
-
Diop, El Hadji S., Fall, Thierno, Mbengue, Alioune, Daoudi, Mohamed, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor
- Published
- 2025
- Full Text
- View/download PDF
40. Development of a Sensitive Chemiluminescence Immunoassay for the Quantification of Folic Acid in Human Serum
- Author
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Xiang Chen, Qiyang Zhou, Ting Zhang, ChunXin Wang, Zheng Yu, Hadji Ahamada, Zhonghu Bai, and Xuan Huang
- Subjects
Analytical chemistry ,QD71-142 - Abstract
Folic acid (FA) is an important vitamin for human growth, especially for pregnant women. FA deficiency is associated with megaloblastic anemia, neural tube defects, cardiovascular diseases, irritability, diarrhea, and psychiatric disorders. Normally, FA molecules bind to folate-binding protein (FBP) in the serum as complex. Before quantify the FA concentration, a releasing procedure should be conducted. Alkaline condition and tris(2-carboxyethyl)phosphine (TCEP) are used to release binding FA to freeing state. In this work, a chemiluminescence immunoassay (CLIA) for human serum FA was established by competition model. Streptavidin (SA) was labeled to magnetic beads by an 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide (EDAC/NHS) method. Activated biotin molecules were labeled to FBP molecules purified from milk. FA was labeled to horseradish peroxidase (HRP) by EDAC to activate the FA molecules. The pretreated samples or standards were added into the reaction tube with biotin-FBP and FA-horseradish peroxidase (HRP), FA in the sample compete with FA-HRP for binding to biotin-FBP, the signal is inversely proportional to the FA concentration. The method established shows good thermostability and performance. The limitation of detection (LOD) is 0.44 ng/mL. The intra-assay coefficient of variation (CV) is 3.6%–7.1%, the interassay CV is 4.2%–7.5%, and the recovery rate is 92.1%–103.5%. Cross reactivity (CR) was remarkably low with aminopterin, folinic acid, and methotrexate. The method shows good correlation with the FA CLIA product from Beckman Coulter; the equation is y = 0.9618x−0.1434 while the R2 value is 0.9224. The established method is sensitive, rapid, and accurate which can fully satisfy for the clinical requirement.
- Published
- 2019
- Full Text
- View/download PDF
41. Designing an integrated sustainable-resilient mix-and-match vaccine supply chain network
- Author
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Jahed, Ali, Molana, Seyyed Mohammad Hadji, Tavakkoli-Moghaddam, Reza, and Valizadeh, Vahideh
- Published
- 2024
- Full Text
- View/download PDF
42. Morphometric analysis and risk assessment of flash floods in the Atlas chain of eastern Algeria and the Algerian–Tunisian borders
- Author
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Taib, Hassan, Hadji, Riheb, Bedri, Khaoula, Defaflia, Nabil, Hamed, Younes, Gentilucci, Matteo, Barbieri, Maurizio, and Pambianchi, Gilberto
- Published
- 2024
- Full Text
- View/download PDF
43. Assessment of Natural Radioactivity in Phosphogypsum Generated in Senegal: A Radiological Investigation
- Author
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Modou, Niang, El Afia, Zobair, Mamadou, Fall El Hadji, Walid, Mahmi, Hanane, Zefti, Nezha, Fatimi, Aliou, Niane, and Arame, Boye Faye Ndeye
- Published
- 2024
- Full Text
- View/download PDF
44. Sustainable planning of a supply-hub in industrial cluster in the COVID-19 crisis: a case study in pharmaceutical sector
- Author
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Rafiei, Mahsa, Sobhani, Farzad Movahedi, and Molana, Mohammad Hadji
- Published
- 2024
- Full Text
- View/download PDF
45. Adaptation using spatially distributed Gaussian Processes
- Author
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Szabo, Botond, Hadji, Amine, and van der Vaart, Aad
- Subjects
Mathematics - Statistics Theory ,Statistics - Methodology ,62G08, 62G20 - Abstract
We consider the accuracy of an approximate posterior distribution in nonparametric regression problems by combining posterior distributions computed on subsets of the data defined by the locations of the independent variables. We show that this approximate posterior retains the rate of recovery of the full data posterior distribution, where the rate of recovery adapts to the smoothness of the true regression function. As particular examples we consider Gaussian process priors based on integrated Brownian motion and the Mat\'ern kernel augmented with a prior on the length scale. Besides theoretical guarantees we present a numerical study of the methods both on synthetic and real world data. We also propose a new aggregation technique, which numerically outperforms previous approaches., Comment: 20 pages, 4 figures
- Published
- 2023
46. Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning
- Author
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Hadji-Kyriacou, Avelina Asada and Arandjelovic, Ognjen
- Subjects
Computer Science - Machine Learning - Abstract
This paper introduces a novel Parameter-Efficient Fine-Tuning (PEFT) framework for multi-modal, multi-task transfer learning with pre-trained language models. PEFT techniques such as LoRA, BitFit and IA3 have demonstrated comparable performance to full fine-tuning of pre-trained models for specific downstream tasks, all while demanding significantly fewer trainable parameters and reduced GPU memory consumption. However, in the context of multi-modal fine-tuning, the need for architectural modifications or full fine-tuning often becomes apparent. To address this we propose Context-PEFT, which learns different groups of adaptor parameters based on the token's domain. This approach enables LoRA-like weight injection without requiring additional architectural changes. Our method is evaluated on the COCO captioning task, where it outperforms full fine-tuning under similar data constraints while simultaneously offering a substantially more parameter-efficient and computationally economical solution.
- Published
- 2023
47. A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods
- Author
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Misheva, Branka Hadji and Osterrieder, Joerg
- Subjects
Quantitative Finance - General Finance ,Computer Science - Machine Learning - Abstract
Machine learning and deep learning have become increasingly prevalent in financial prediction and forecasting tasks, offering advantages such as enhanced customer experience, democratising financial services, improving consumer protection, and enhancing risk management. However, these complex models often lack transparency and interpretability, making them challenging to use in sensitive domains like finance. This has led to the rise of eXplainable Artificial Intelligence (XAI) methods aimed at creating models that are easily understood by humans. Classical XAI methods, such as LIME and SHAP, have been developed to provide explanations for complex models. While these methods have made significant contributions, they also have limitations, including computational complexity, inherent model bias, sensitivity to data sampling, and challenges in dealing with feature dependence. In this context, this paper explores good practices for deploying explainability in AI-based systems for finance, emphasising the importance of data quality, audience-specific methods, consideration of data properties, and the stability of explanations. These practices aim to address the unique challenges and requirements of the financial industry and guide the development of effective XAI tools., Comment: 11 pages, 1 figure
- Published
- 2023
48. GePSAn: Generative Procedure Step Anticipation in Cooking Videos
- Author
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Abdelsalam, Mohamed Ashraf, Rangrej, Samrudhdhi B., Hadji, Isma, Dvornik, Nikita, Derpanis, Konstantinos G., and Fazly, Afsaneh
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
We study the problem of future step anticipation in procedural videos. Given a video of an ongoing procedural activity, we predict a plausible next procedure step described in rich natural language. While most previous work focus on the problem of data scarcity in procedural video datasets, another core challenge of future anticipation is how to account for multiple plausible future realizations in natural settings. This problem has been largely overlooked in previous work. To address this challenge, we frame future step prediction as modelling the distribution of all possible candidates for the next step. Specifically, we design a generative model that takes a series of video clips as input, and generates multiple plausible and diverse candidates (in natural language) for the next step. Following previous work, we side-step the video annotation scarcity by pretraining our model on a large text-based corpus of procedural activities, and then transfer the model to the video domain. Our experiments, both in textual and video domains, show that our model captures diversity in the next step prediction and generates multiple plausible future predictions. Moreover, our model establishes new state-of-the-art results on YouCookII, where it outperforms existing baselines on the next step anticipation. Finally, we also show that our model can successfully transfer from text to the video domain zero-shot, ie, without fine-tuning or adaptation, and produces good-quality future step predictions from video., Comment: published at ICCV 2023
- Published
- 2023
49. Association between the dietary inflammatory index and risk of lung cancer: a multi-centered case-control study
- Author
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Dehghani, Farimah, Toorang, Fatemeh, Seyyedsalehi, Monireh Sadat, Sasanfar, Bahareh, Rashidian, Hamideh, Hadji, Maryam, Moghadam, Alireza Ansari, Bakhshi, Mahdieh, Boffetta, Paolo, and Zendehdel, Kazem
- Published
- 2024
- Full Text
- View/download PDF
50. The impact of physical activity on progression-free and overall survival in metastatic breast cancer based on molecular subtype
- Author
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Ziegler, Philipp, Hartkopf, Andreas D., Wallwiener, Markus, Häberle, Lothar, Kolberg, Hans-Christian, Hadji, Peyman, Tesch, Hans, Ettl, Johannes, Lüftner, Diana, Müller, Volkmar, Michel, Laura L., Belleville, Erik, Wimberger, Pauline, Hielscher, Carsten, Huebner, Hanna, Uhrig, Sabrina, Wurmthaler, Lena A., Hack, Carolin C., Mundhenke, Christoph, Kurbacher, Christian, Fasching, Peter A., Wuerstlein, Rachel, Untch, Michael, Janni, Wolfgang, Taran, Florin-Andrei, Lux, Michael P., Wallwiener, Diethelm, Brucker, Sara Y., Fehm, Tanja N., Schneeweiss, Andreas, and Goossens, Chloë
- Published
- 2024
- Full Text
- View/download PDF
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