Review of Temephos Discriminating Concentration for Monitoring the Susceptibility of Anopheles labranchiae (Falleroni, 1926), Malaria Vector in Morocco

In Morocco, the resistance monitoring of Anopheles labranchiae larvae to temephos is done using discriminating concentration of 0.125 mg, which is half of the WHO recommended dose for Anopheles. However, this dosage seemed to be too high to allow an early detection of the resistance and its revision was found necessary. The present study was carried out during May-June 2008 and 2009 in nine provinces from the north-west of the country. The aim was to determine the lethal concentrations LC100 of temephos for the most susceptible populations and to define the discriminating dosage as the double of this value. The bioassays were conducted according to WHO standard operating protocol to establish the dose-mortality relationship and deduct the LC50 and LC95. The results of this study indicated that the LC100 obtained on the most susceptible populations was close to 0.05 mg/L. Therefore, the temephos discriminating dosage for susceptibility monitoring of An. labranchiae larvae in Morocco was set to be 0.1 mg/L

Mediastinal Mature Teratoma Revealed by Empyema

Teratomas are germ cell tumors, manifested with a great variety of clinical features; the most common extragonadal site is the anterior mediastinum. In this case, we report the patient with a large mature mediastinal teratoma with several components of ectodermal and endothermal epithelium. A 24-year-old female patient presented with history of persistent chest pain and progressively aggravating dyspnea for the previous 3 months. A chest X-ray showed a large opacity of the entire left hemithorax. Transcutaneous needle aspiration revealed a purulent fluid. The tube thoracostomy was introduced and the effusion was evacuated. Some weeks later, patient was seen in emergency for persistent cough and lateral chest pain. CT scan revealed a mass of the left hemithorax. The mass showed heterogeneous density, without compressing mediastinum great vessels and left hilar structures. Lipase value was elevated in needle aspiration. The patient underwent a total resection of the mediastinum mass via a left posterolateral thoracotomy. Microscopy revealed a mature teratoma with cystic structures. The patient subsequently made a full recovery. This case provide benign mediastinal teratoma with total atelectasis of left lung and elevated lipase value in needle transcutaneous aspiration; this event is explained by pancreatic component in the cystic tumor. Total removal of the tumor is adequate treatment for this type of teratoma and the prognosis is excellent

Ostéite costale tuberculeuse

Nous rapportons un cas de tuberculose costale chez une patiente de 44ans ayant des antécédents de miliaire tuberculeuse. L’atteinte costale était pseudotumorale ayant conduit à une biopsie exérèse chirurgicale de la masse costale dont l’étude histologique est revenue en faveur d’une tuberculose. Cette observation ainsi que celles de la littérature, confirment les difficultés diagnostiques de cette forme rare de tuberculose

Ostéite costale tuberculeuse

Nous rapportons un cas de tuberculose costale chez une patiente de 44ans ayant des antécédents de miliaire tuberculeuse. L’atteinte costale était pseudotumorale ayant conduit à une biopsie exérèse chirurgicale de la masse costale dont l’étude histologique est revenue en faveur d’une tuberculose. Cette observation ainsi que celles de la littérature, confirment les difficultés diagnostiques de cette forme rare de tuberculose

Bone Degeneration and Recovery after Early and Late Bisphosphonate Treatment of Ovariectomized Wistar Rats Assessed by In Vivo Micro-Computed Tomography

Bisphosphonates are antiresorptive drugs commonly used to treat osteoporosis. It is not clear, however, what the influence of the time point of treatment is. Recently developed in vivo micro-computed tomographic (CT) scanners offer the possibility to study such effects on bone microstructure in rats. The aim of this study was to determine the influence of early and late zoledronic acid treatment on bone in ovariectomized rats, using in vivo micro-CT. Twenty-nine female Wistar rats were divided into the following groups: ovariectomy (OVX, n = 5), OVX and zoledronic acid (ZOL) at week 0 (n = 8), OVX and ZOL at week 8 (n = 7), and sham (n = 9). CT scans were made of the proximal tibia at weeks 0, 2, 4, 8, 12, and 16; and bone structural parameters were determined in the metaphysis. Two fluorescent labels were administered to calculate dynamic histomorphometric parameters. At week 16, all groups were significantly different from each other in bone volume fraction (BV/TV), connectivity density, and trabecular number (Tb.N), except for the early ZOL and control groups which were not significantly different for any structural parameter. After ZOL treatment at week 8, BV/TV, structure model index, Tb.N, and trabecular thickness significantly improved in the late ZOL group. The OVX and ZOL groups showed, respectively, higher and lower bone formation rates than the control group. Early ZOL treatment inhibited all bone microstructural changes seen after OVX. Late ZOL treatment significantly improved bone microstructure, although the structure did not recover to original levels. Early ZOL treatment resulted in a significantly better microstructure than late treatment. However, late treatment was still significantly better than no treatment

Forme pseudo-tumorale d’une tuberculose broncho-pulmonaire chez un immunocompétent mimant un cancer

La tuberculose est une maladie due à une infection par le bacille tuberculeux, tous les organes peuvent être touchés, la tuberculose pulmonaire représente un peu plus de 50% des atteintes, elle constitue un problème de santé publique dans le monde entier et particulièrement dans les pays en voie de développement. La tuberculose broncho-pulmonaire pseudo-tumorale est une forme de présentation particulière de la tuberculose chez le sujet immunocompétent, elle peut revêtir la forme d'une lésion bronchique ou pulmonaire évocatrice d'une pathologie néoplasique, que ce soit sur une TDM thoracique ou lors d'une endoscopie bronchique. Cette similitude avec la pathologie néoplasique est source de confusion pour le clinicien et rend difficile l'établissement du diagnostic positif, elle nécessite le recours à des moyens diagnostiques souvent invasifs, puisque les moyens classiques sont généralement mis à défaut, ce qui alourdit la prise en charge et retarde la mise sous traitement. L'objectif de cet article est de sensibiliser le clinicien vis-à-vis de cette forme particulière de présentation de la tuberculose, certes peu fréquente, mais à évoquer de principe devant un aspect radiologique compatible d'autant plus que le pays de résidence est de forte endémicité. Le traitement de cette forme demeure le même que celui des présentations habituelles, que ce soit en matière de médicaments ou de durée

A machine learning and internet of things-based online fault diagnosis method for photovoltaic arrays

In this paper, a novel fault detection and classification method for photovoltaic (PV) arrays is introduced. The method has been developed using a dataset of voltage and current measurements (I–V curves) which were collected from a small-scale PV system at the RELab, the University of Jijel (Algeria). Two different machine learning-based algorithms have been used in order to detect and classify the faults. An Internet of Things-based application has been used in order to send data to the cloud, while the machine learning codes have been run on a Raspberry Pi 4. A webpage which shows the results and informs the user about the state of the PV array has also been developed. The results show the ability and the feasibility of the developed method, which detects and classifies a number of faults and anomalies (e.g., the accumulation of dust on the PV module surface, permanent shading, the disconnection of a PV module, and the presence of a short-circuited bypass diode in a PV module) with a pretty good accuracy (98% for detection and 96% classification)

A Machine Learning and Internet of Things-Based Online Fault Diagnosis Method for Photovoltaic Arrays

In this paper, a novel fault detection and classification method for photovoltaic (PV) arrays is introduced. The method has been developed using a dataset of voltage and current measurements (I–V curves) which were collected from a small-scale PV system at the RELab, the University of Jijel (Algeria). Two different machine learning-based algorithms have been used in order to detect and classify the faults. An Internet of Things-based application has been used in order to send data to the cloud, while the machine learning codes have been run on a Raspberry Pi 4. A webpage which shows the results and informs the user about the state of the PV array has also been developed. The results show the ability and the feasibility of the developed method, which detects and classifies a number of faults and anomalies (e.g., the accumulation of dust on the PV module surface, permanent shading, the disconnection of a PV module, and the presence of a short-circuited bypass diode in a PV module) with a pretty good accuracy (98% for detection and 96% classification)