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  1. Article ; Online: Basal forebrain cholinergic neurons have specific characteristics during the perinatal period.

    Lozovaya, Natalia / Moumen, Anice / Hammond, Constance

    eNeuro

    2024  

    Abstract: Cholinergic neurons of the basal forebrain (BF) represent the main source of cholinergic innervation of large parts of the neocortex and are involved in adults in the modulation of attention, memory, and arousal. During the first postnatal days, they ... ...

    Abstract Cholinergic neurons of the basal forebrain (BF) represent the main source of cholinergic innervation of large parts of the neocortex and are involved in adults in the modulation of attention, memory, and arousal. During the first postnatal days, they play a crucial role in the development of cortical neurons and cortical cytoarchitecture. However, their characteristics, during this period have not been studied. To understand how they can fulfill this role, we investigated the morphological and electrophysiological maturation of cholinergic neurons of the substantia innominata-nucleus basalis of Meynert complex (SI/NBM) in the perinatal period in mice. We show that cholinergic neurons, whether or not they express γ-aminobutyric acid (GABA) as a co-transmitter, are already functional at embryonic day 18 (E18). Until the end of the first postnatal week, they constitute a single population of neurons with a well-developed dendritic tree, a spontaneous activity including bursting periods, and a short latency response to depolarizations (early-firing). They are excited by both their GABAergic and glutamatergic afferents. During the second postnatal week, a second, less excitable, neuronal population emerges, with a longer delay response to depolarizations (late-firing), together with the hyperpolarizing action of GABA
    Language English
    Publishing date 2024-05-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0538-23.2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Stabilising and accelerating light gated recurrent units for automatic speech recognition

    Moumen, Adel / Parcollet, Titouan

    2023  

    Abstract: The light gated recurrent units (Li-GRU) is well-known for achieving impressive results in automatic speech recognition (ASR) tasks while being lighter and faster to train than a standard gated recurrent units (GRU). However, the unbounded nature of its ... ...

    Abstract The light gated recurrent units (Li-GRU) is well-known for achieving impressive results in automatic speech recognition (ASR) tasks while being lighter and faster to train than a standard gated recurrent units (GRU). However, the unbounded nature of its rectified linear unit on the candidate recurrent gate induces an important gradient exploding phenomenon disrupting the training process and preventing it from being applied to famous datasets. In this paper, we theoretically and empirically derive the necessary conditions for its stability as well as engineering mechanisms to speed up by a factor of five its training time, hence introducing a novel version of this architecture named SLi-GRU. Then, we evaluate its performance both on a toy task illustrating its newly acquired capabilities and a set of three different ASR datasets demonstrating lower word error rates compared to more complex recurrent neural networks.
    Keywords Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Computation and Language ; Computer Science - Machine Learning ; Computer Science - Sound
    Subject code 006
    Publishing date 2023-02-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Metal Oxide Nanowire-Based Sensor Array for Hydrogen Detection.

    Zappa, Dario / Kaur, Navpreet / Moumen, Abderrahim / Comini, Elisabetta

    Micromachines

    2023  Volume 14, Issue 11

    Abstract: Accurate hydrogen leakage detection is a major requirement for the safe and widespread integration of this fuel in modern energy production devices, such as fuel cells. Quasi-1D nanowires of seven different metal oxides (CuO, ... ...

    Abstract Accurate hydrogen leakage detection is a major requirement for the safe and widespread integration of this fuel in modern energy production devices, such as fuel cells. Quasi-1D nanowires of seven different metal oxides (CuO, WO
    Language English
    Publishing date 2023-11-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi14112124
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  4. Article: The North-East Moroccan physicians' management of menopause: Prescription vs. nonprescription of hormonal treatment.

    Esseffar, Sara / Moumen, Abdelmajid / Rkha, Samia / Loukid, Mohamed

    African journal of reproductive health

    2023  Volume 26, Issue 6, Page(s) 116–124

    Abstract: This study examined the management of North-East Moroccan physicians of menopause. The poll was carried out on a representative sample of physicians in the Nador region. The sample included gynecologists and general practitioner physicians in both public ...

    Abstract This study examined the management of North-East Moroccan physicians of menopause. The poll was carried out on a representative sample of physicians in the Nador region. The sample included gynecologists and general practitioner physicians in both public and private medical sectors. The survey contained focused and open-ended questions on the good knowledge or not of physicians about menopause, their patient population, their prescribing practices, their perceptions, and the different medical approaches to managing the symptoms of menopause. Among the general practitioners interviewed, only 16% of physicians are very knowledgeable about the management of menopause and only 3 physicians have followed continuous training. The others have mainly acquired their information from the internet, medical journals, and scientific magazines. Only one-third of physicians interviewed prescribe menopausal hormonal treatment in this region. The treatment is mainly prescribed to cope with hot flashes (97.1%) and menstrual cycle disruption (85.7%). Others are in favor of non-hormonal treatments and advise women to change their bad daily habits to relieve symptoms. In this region of Morocco, hormonal treatment for menopause is not very common and the majority of general practitioners are not familiar with menopause.
    MeSH term(s) Humans ; Female ; Menopause ; Physicians ; Hot Flashes ; Surveys and Questionnaires ; Practice Patterns, Physicians' ; Prescriptions
    Language English
    Publishing date 2023-08-16
    Publishing country Nigeria
    Document type Journal Article
    ZDB-ID 2111906-5
    ISSN 1118-4841
    ISSN 1118-4841
    DOI 10.29063/ajrh2022/v26i6.13
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  5. Article ; Online: Author Correction: Divorce prediction using machine learning algorithms in Ha'il region, KSA.

    Moumen, Abdelkader / Shafqat, Ayesha / Alraqad, Tariq / Alshawarbeh, Etaf Saleh / Saber, Hicham / Shafqat, Ramsha

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 5452

    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53928-x
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  6. Article ; Online: Divorce prediction using machine learning algorithms in Ha'il region, KSA.

    Moumen, Abdelkader / Shafqat, Ayesha / Alraqad, Tariq / Alshawarbeh, Etaf Saleh / Saber, Hicham / Shafqat, Ramsha

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 502

    Abstract: The application of artificial intelligence (AI) in predictive analytics is growing in popularity. It has the power to offer ground-breaking solutions for a range of social problems and real world societal difficulties. It is helpful in addressing some of ...

    Abstract The application of artificial intelligence (AI) in predictive analytics is growing in popularity. It has the power to offer ground-breaking solutions for a range of social problems and real world societal difficulties. It is helpful in addressing some of the social issues that today's world seems incapable of solving. One of the most significant phenomena affecting people's lives is divorce. The goal of this paper is to study the use of machine learning algorithms to determine the effectiveness of divorce predictor scale (DPS) and identify the reasons that usually lead to divorce in the scenario of Hail region, KSA. For this purpose, in this study, the DPS, based on Gottman couples therapy, was used to predict divorce by applying different machine learning algorithms. There were 54 items of the DPS used as features or attributes for data collection. In addition to the DPS, a personal information form was utilized to gather participants' personal data in order to conduct this study in a more structured and traditional manner. Out of 148 participants 116 participants were married whereas 32 were divorced. With the use of algorithms artificial neural network (ANN), naïve bayes (NB), and random forest (RF), the effectiveness of DPS was examined in this study. The correlation based feature selection method was used to identify the top six features from the same dataset and the highest accuracy rate was 91.66% with RF. The results show that DPS can predict divorce. This scale can help family counselors and therapists in case formulation and intervention plan development process. Additionally, it may be argued that the Hail region, KSA sampling confirmed the Gottman couples treatment predictors.
    MeSH term(s) Humans ; Artificial Intelligence ; Divorce ; Bayes Theorem ; Algorithms ; Machine Learning
    Language English
    Publishing date 2024-01-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-50839-1
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  7. Article ; Online: Bacterial scleritis secondary to osteitis in a diabetic patient.

    Moumen, A / Belamlih, H / Benabedlfedil, Y / Derrou, S / Lemhadi, M / Safi, S / El Guendouz, F

    Journal francais d'ophtalmologie

    2023  Volume 47, Issue 5, Page(s) 103931

    MeSH term(s) Humans ; Scleritis/etiology ; Scleritis/diagnosis ; Osteitis/diagnosis ; Osteitis/microbiology ; Osteitis/complications ; Osteitis/etiology ; Eye Infections, Bacterial/diagnosis ; Eye Infections, Bacterial/complications ; Eye Infections, Bacterial/microbiology ; Male ; Female ; Diabetes Complications/diagnosis ; Diabetes Complications/microbiology ; Middle Aged ; Anti-Bacterial Agents/therapeutic use
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-09-04
    Publishing country France
    Document type Case Reports ; Letter
    ZDB-ID 426662-6
    ISSN 1773-0597 ; 0181-5512
    ISSN (online) 1773-0597
    ISSN 0181-5512
    DOI 10.1016/j.jfo.2023.08.002
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1417: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  8. Article ; Online: P-Type Metal Oxide Semiconductor Thin Films: Synthesis and Chemical Sensor Applications.

    Moumen, Abderrahim / Kumarage, Gayan C W / Comini, Elisabetta

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 4

    Abstract: This review focuses on the synthesis of p-type metal-oxide (p-type MOX) semiconductor thin films, such as CuO, NiO, ... ...

    Abstract This review focuses on the synthesis of p-type metal-oxide (p-type MOX) semiconductor thin films, such as CuO, NiO, Co
    Language English
    Publishing date 2022-02-10
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22041359
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  9. Article ; Online: Screening for Coronary Artery Disease in Asymptomatic Pilots with Diabetes Mellitus.

    Zerrik, Meryem / Moumen, Amal / El Ghazi, Mouna / Smiress, Fahd Bennani / Iloughmane, Zakaria / El M'hadi, Choukri / Chemsi, Mohamed

    Aerospace medicine and human performance

    2024  Volume 95, Issue 4, Page(s) 200–205

    Abstract: INTRODUCTION: ...

    Abstract INTRODUCTION:
    MeSH term(s) Humans ; Middle Aged ; Coronary Artery Disease/diagnosis ; Prospective Studies ; Diabetes Mellitus/diagnosis ; Diabetes Mellitus/epidemiology ; Aerospace Medicine ; Heart ; Pilots
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2809085-8
    ISSN 2375-6322 ; 2375-6314
    ISSN (online) 2375-6322
    ISSN 2375-6314
    DOI 10.3357/AMHP.6336.2024
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 57: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Evaluation of the water quality and the eutrophication risk in Ramsar site on Moroccan northern Mediterranean (Marchica lagoon): A multivariate statistical approach.

    Ngadi, Hamza / Layachi, Mostafa / Azizi, Ghizlane / Baghour, Mourad / Esseffar, Sara / Loukili, Hamza / Moumen, Abdelmajid

    Marine pollution bulletin

    2023  Volume 194, Issue Pt B, Page(s) 115373

    Abstract: This study aimed to assess the extent of eutrophication in the Marchica lagoon, using the trophic index (TRIX), trophic status index (TSI) and Redfield ratio (N/P). Seawater samples were collected monthly from March 2018 to February 2019 from ten ... ...

    Abstract This study aimed to assess the extent of eutrophication in the Marchica lagoon, using the trophic index (TRIX), trophic status index (TSI) and Redfield ratio (N/P). Seawater samples were collected monthly from March 2018 to February 2019 from ten locations in the lagoon. The TRIX index ranged from 1.25 to 8.87, indicating oligotrophic to eutrophic conditions. TSI values ranged from 28.4 to 65.1, indicating ultraoligotrophic to supereutrophic seawater. The Redfield ratio consistently showed N/P values below 16, designating phosphorus as the limiting factor for algal growth. Principal component analysis (PCA) and cluster analysis (CA) revealed distinct coastal water masses based on seasons and sampling regions. Given these findings, urgent conservation and management measures are recommended to address the eutrophication issues threatening the delicate balance of the Marchica lagoon.
    MeSH term(s) Water Quality ; Environmental Monitoring ; Eutrophication ; Seasons ; Seawater
    Language English
    Publishing date 2023-08-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001296-2
    ISSN 1879-3363 ; 0025-326X
    ISSN (online) 1879-3363
    ISSN 0025-326X
    DOI 10.1016/j.marpolbul.2023.115373
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