ADC mapping of the aging frontal lobes in mild cognitive impairment

Normal aging, leukoaraiosis (LA) and vascular disease particularly involve the human frontal lobes. We decided to investigate a population of elderly patients referred for neuroimaging because of progressive minor cognitive deficits but no dementia. They underwent conventional Magnetic resonance imaging (MRI) using axial T1 and T2-weighted imaging as well as coronal FLAIR sequences in addition to the axial diffusion-weighted MRI. MRI allowed us to differentiate patients with leukoaraïosis (LA+) from those without it (LA-) and mapping of the apparent diffusion coefficient (ADC) to investigate local tissular water motion.We observed an increase in the ADC in all investigated patients with increasing age (r=0.326, p=0.002). This increase was observed in both patients groups (LA+ and LA-) . In addition, the LA+ group had significant higher ADC values than the LA- group after controlling for age (p<0.0001

Review on the Identification Methods of Laboratory Mice, Rats, Rabbits, and Guinea pigs

Identification of laboratory animals is an essential step for operating an animal house/research laboratory efficiently. Recently, strong trends towards the ethics of animal welfare of laboratory animals used in research has made it important to review some known methods of marking them. Thus, some reliable ethical methods of identifying animals used in the laboratory are recommended. Overall, this article addresses the above issue in mice, rats, rabbits, and guinea pigs and recomendation ofvarious methods is given in Table 2

Nationality and citizenship questions in Sudan after the Southern Sudan referendum vote

The Comprehensive Peace Agreement (CPA) of 2005 provided southern Sudanese with the right to self-determination through a referendum vote that took place January 9–15, 2011. Formal results will be announced at the end of January, but reliable reports indicate an overwhelming vote for independence. While the CPA provides a six-month transition period following the referendum, and negotiations have begun on post-referendum issues, a great many contentious issues remain to be settled. Central among them is the question of how nationality and citizenship will be defined and handled in a future North Sudan and South Sudan

Civil society and peace building in Sudan: A critical look

Abstract The role of civil society organizations in peace making and peace building is often valorized, especially in countries that witness protracted conflicts. The assumption underlying this valorization is that while conflicting parties sign peace deals, it is civil society organizations that undertake the implementation of such peace deals. A significant requirement for the success of civil society organizations in peace building is their inclusion in peace making in the first place. Such inclusion is indicative of the recognition accorded to civil society organizations and, conversely, their exclusion means that those who broker peace deals are not cognizant of the roles of these organizations. While civil society organizations may have negative roles or may even be party to conflicts, it is important to highlight the instances in which they are excluded from partaking in peace-making and peace-building engagements. The conceptualization of civil society is yet another challenge that bears on how these organizations contribute to peace making and building. Sudan represents a case that requires scrutiny. The peace process that culminated in signing the Comprehensive Peace Agreement (CPA) in 2005 started in 2002. Peace negotiations spanned over almost three years, with a notable absence of civil society organizations. Peace talks were an exclusive affair between the Sudan Government and Sudan Peoples’ Liberation Army/Movement (SPLA/M). Civil society organizations in Sudan had to deal with the peace agreement as a product of bilateral negotiations between the two signatories, but were keen to contribute to the success of the agreement. Different was the case of the Doha peace talks on Darfur where civil society organizations from Darfur were present during the peace negotiations that culminated in the Doha Peace agreement of 2009. Taking the examples of Darfur civil society organizations, and two Khartoum-based ones, this research closely looks a

Sudan’s popular uprising and the demise of Islamism

This Sudan Brief is concerned with the fractionalization of Islamism during Bashir&rsquo;s rule (1989-2019). It does not focus on the details of Bashir&rsquo;s brutal rule, rather, it is about the emerging disunity from within which eventually led to the removal of Bashir from power. I analyze factors that led to the Islamists adopting a more pragmatic stand, especially after the main ideologue of the Islamist movement was kicked out into the cold in 1999. The Brief argues that although the Islamists have successfully created a parallel or deep state the last three decades, the political shift of power away from the Islamists which the 2018 popular uprising represent, makes the political future of Islamism bleak

Is it the Fault of NGOs Alone? Aid and Dependency in Eastern Sudan

Scholars of development studies have long debated the efficacy of humanitarian assistance in the Sudan, especially in eastern Sudan, where humanitarian agencies have been working for more than two decades. Questions about the importance of humanitarian assistance to recovery and, hence, development, are central in the debate. Does humanitarian assistance end up creating dependence, not development? This study suggests that humanitarian assistance, often carried out in contexts of complex emergencies and fragile livelihoods, has little chance of achieving recovery and eventual development. Using qualitative data from the Red Sea State in eastern Sudan, this article argues that the failure to achieve recovery and development is not the fault of NGOs alone. Chronic susceptibility to droughts and famines, wars, and lack of coordination among NGOs and between NGOs and local authorities are some of the local level problems that negatively affect humanitarian work in eastern Sudan. The local level problems that impede achieving self-reliance are entangled with the discursive national and international politics of humanitarian assistance in ways that cast doubts about the positive role of aid agencies. The presence of NGOs certainly led to changes in many structures, but this is not reflected positively in people's livelihoods. Instead of achieving recovery, communities in eastern Sudan are moving from positive coping strategies to negative adaptive vulnerabilities, exemplified by dependence on NGOs. The recently signed peace agreement in eastern Sudan offers opportunities for more inclusive planning, but without national commitment and international support it might accelerate conflict and vulnerability and hence deepen dependency

Automatic Identity Recognition Using Speech Biometric

Biometric technology refers to the automatic identification of a person using physical or behavioral traits associated with him/her. This technology can be an excellent candidate for developing intelligent systems such as speaker identification, facial recognition, signature verification...etc. Biometric technology can be used to design and develop automatic identity recognition systems, which are highly demanded and can be used in banking systems, employee identification, immigration, e-commerce…etc. The first phase of this research emphasizes on the development of automatic identity recognizer using speech biometric technology based on Artificial Intelligence (AI) techniques provided in MATLAB. For our phase one, speech data is collected from 20 (10 male and 10 female) participants in order to develop the recognizer. The speech data include utterances recorded for the English language digits (0 to 9), where each participant recorded each digit 3 times, which resulted in a total of 600 utterances for all participants. For our phase two, speech data is collected from 100 (50 male and 50 female) participants in order to develop the recognizer. The speech data is divided into text-dependent and text-independent data, whereby each participant selected his/her full name and recorded it 30 times, which makes up the text-independent data. On the other hand, the text-dependent data is represented by a short Arabic language story that contains 16 sentences, whereby every sentence was recorded by every participant 5 times. As a result, this new corpus contains 3000 (30 utterances * 100 speakers) sound files that represent the text-independent data using their full names and 8000 (16 sentences * 5 utterances * 100 speakers) sound files that represent the text-dependent data using the short story. For the purpose of our phase one of developing the automatic identity recognizer using speech, the 600 utterances have undergone the feature extraction and feature classification phases. The speech-based automatic identity recognition system is based on the most dominating feature extraction technique, which is known as the Mel-Frequency Cepstral Coefficient (MFCC). For feature classification phase, the system is based on the Vector Quantization (VQ) algorithm. Based on our experimental results, the highest accuracy achieved is 76%. The experimental results have shown acceptable performance, but can be improved further in our phase two using larger speech data size and better performance classification techniques such as the Hidden Markov Model (HMM)

Bridging GPS Outages Using Spectral Fusion and Neural Network Models in Support of Multibeam Hydrography

In classical hydrographic surveying, the use of GPS is limited to providing horizontal control for survey vessels. More recently, an alternative practice has evolved, which determines depth values relative to a geodetic datum and then relate them to tidal datums through a series of vertical datum transformations. Although it has a number of advantages over classical hydrographic surveying, this practice requires accurate 3D positioning information. Unfortunately, accurate 3D positioning solution may not always be available as a result of communication link problems, GPS outages, or unsuccessful fixing for the ambiguity parameters. This paper examines the use of wavelet analysis to spectrally combine the GPS/INS height data series and the heave signal to bridge the height data gaps. In addition, a neural network-based model is developed to precisely predict the horizontal component of the survey vessel.En los levantamientos hidrográficos clásicos, el uso del GPS está limitado al suministro de control horizontal para los buques hidrográficos. Más recientemente, se ha desarrollado una práctica alterna-tiva, que determina los valores de la profundidad relativos a un datum geodésico y los relaciona pos-teriormente con los datums de mareas a través de una serie de transformaciones del datum vertical. Aunque tiene una serie de ventajas con respecto a los levantamientos hidrográficos clásicos, esta práctica requiere una información precisa del posicionamiento en 3D. Desgraciadamente, puede que una solución de posicionamiento preciso en 3D no esté siempre disponible como resultado de los problemas de enlaces de datos, los cortes GPS, o un ajuste infructuoso de parámetros de ambigüedad. Este artículo examina el uso de un análisis de ondas pequeñas para combinar espectralmente la serie de datos de altura GPS/INS y la señal de oleaje para superar las deficiencias de datos de alturas. Además, se ha desarrollado un modelo basado en la red neural para predecir con precisión la compo-nente horizontal del buque hidrográfico.Dans les levés hydrographiques classiques, l‘utilisation du GPS est limitée à la fourniture d‘un contrôle horizontal pour les bâtiments hydrographiques. Plus récemment, une autre pratique est ap-parue et celle-ci détermine les valeurs de profondeur par rapport à un système géodésique puis les rapporte au niveau de référence des marées par le biais d‘une série de transformations du système géodésique vertical. Bien que ceci offre un certain nombre d‘avantages par rapport aux levés hydro-graphiques classiques, cette pratique nécessite des informations exactes sur la détermination de la position en 3D. Malheureusement, une solution exacte de détermination de la position en 3D n‘est pas toujours disponible à cause de problèmes de liaison en matière de communications, de défaillan-ces GPS, ou de réparation infructueuse des paramètres d‘ambiguïté. Le présent article examine l‘uti-lisation d‘une analyse des ondelettes pour combiner de manière spectrale les séries de données de hauteur GPS/INS et le signal de pilonnement afin de combler les lacunes en données de hauteur. En outre, un modèle inspiré d‘un réseau neuronal est en cours de développement en vue d‘une prédic-tion précise de la composante horizontale du bâtiment hydrographique

miR-17-5p/STAT3/H19:A novel regulatory axis tuning ULBP2 expression in young breast cancer patients

BACKGROUND AND AIM: UL-16 binding protein 2 (ULBP2) is a highly altered ligand for the activating receptor, NKG2D in breast cancer (BC). However, the mechanism behind its de-regulation in BC patients remains to be explored. The sophisticated crosstalk between miR-17-5p, the lncRNA H19, and STAT3 as a possible upstream regulatory loop for ULBP2 in young BC patients and cell lines remains as an unexplored area. Therefore, this study aimed at unravelling the ncRNA circuit regulating ULBP2 in young BC patients and cell lines. PATIENTS AND METHODS: A total of 30 BC patients were recruited for this study. The expression levels of miR-17-5p, lncRNA H19, and STAT3 were examined in 30 BC tissues compared to their normal counterparts. In addition, the expression signatures of those transcripts were compared in young (&lt;40 years) and old BC (≥40 years) patients. miR-17-5p oligonucleotides, STAT3 and H19 siRNAs were transfected in MDA-MB-231 cells using HiPerfect® Transfection Reagent. miR-17-5p and the transcripts of the target genes quantified using RT-qPCR. Their relative expression was calculated using the 2-ΔΔCT method. RESULTS: Through acting as a ceRNA circuit that antagonizes the function of miR-17-5p, H19 prevented the miR-17-5p-induced downregulation of STAT3; this mechanism further contributes to the pathogenesis of BC. Ectopic expression of miR-17-5p in MDA-MB-231 cells displayed its prominent role as an indirect potential activator of NK cells by significantly repressing the expression levels of the oncogenic mediator STAT3 and the oncogenic lncRNA H19 and inducing ULBP2 expression level by 3 folds in TNBC cell lines compared to mock cells. Furthermore, knocking down of STAT3 repressed the lncRNA H19 and increased ULBP2 expression levels, whereas siRNAs against H19 increased the expression levels of ULBP2. CONCLUSION: This study highlighted the crosstalk between the novel regulatory network composed of miR-17-5p, H19 and STAT3, and their impact on ULBP2 in BC. Moreover, this study underscored the potential role of miR-17-5p in counteracting the immune evasion tactics, particularly the shedding of ULBP2 in young BC patients, through the modulation of the STAT3/H19/ULBP2 regulatory axis. Thus, targeting this novel regulatory network could potentially enhance our understanding and advance the future application of the innate system-mediated immunotherapy in BC.</p