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First report of tethered cord syndrome in a patient with Sotos syndrome
Background Sotos syndrome is caused by a gene deletion with an autosomal
dominant pattern of inheritance. The Sotos syndrome was first described
by Juan Sotos. Cole and Hughes identified the clinical characteristics
of this syndrome. This syndrome is characterized by macrocephaly,
frontal bossing, ocular hypertelorism, overgrowth, subdural hygroma,
ventricular dilatation, agenesis of the corpus callosum. This syndrome
is associated with mutations in NSD 1 (nuclear receptor SET
domain-containing protein 1) gene, protein insufficiency, and a 5q35
microdeletion. Sotos syndrome is reported to occur in approximately
1/10,000-15,000 births. Case presentation We present a patient with
Sotos syndrome who is harboring a sacral lipoma and tethered cord
syndrome and she had growth retardation, frontal bossing and
hypertelorism. After a standard approach for tethered cord syndrome, the
patient was discharged 3 days after without any additional
neurodeficits. Conclusion In the literature, sacral lipoma and tethered
cord syndrome with Sotos syndrome have not been published yet
Effect of the COVID-19 pandemic on anxiety among children with cystic fibrosis and their mothers
Modellerle Zenginleştirilmiş Fen Öğretiminin Akademik Başarı, Kalıcılık ve Tutum Üzerine Etkisi
Environmental characteristics of older people attending physical medicine and rehabilitation outpatient clinics
Effects of 5-Hydroxymethylfurfural on Pubertal Development of Female Wistar Rats
Objective: 5-Hydroxymethylfurfural (HMF) is formed when sugars are
heated in the presence of amino acids. HMF is naturally present in many
foods. To investigate the toxic effects of HMF on the reproductive
system of peripubertal rats.
Methods: In the study, 24 immature female Wistar rat were divided into
three groups: control (CT) fed with no HMF; low dose fed with 750
mg/kg/day of HMF and high dose (HD) groups fed with 1500 mg/kg/day of
HMF. All groups received these diets for three weeks from postnatal day
(PND) 21. The vaginal opening (VO) was monitored daily and euthanasia
occurred on PND 44. Gonadotropin, estradiol (E2), progesterone and
anti-Mullerian hormone (AMH) concentrations were measured. Reproductive
organ weights and ovarian follicle counts were compared.
Results: The HD HMF group had earlier VO. Higher mean luteinising
hormone (2.9 +/- 1.2 vs 1.3 +/- 0.3 mIU/mL) and mean E2 (34.7 +/- 8.8 vs
21.2 +/- 3.9 pg/mL) and lower mean AMH (2.7 +/- 0.5 vs 4.7 +/- 0.7
ng/mL) concentrations were found in the HD compared to the CT group. The
HD group also had increased number of secondary atrophic follicles.
Conclusion: These results indicate that peripubertal exposure to HMF at
HD result in precocious puberty and decreased AMH levels in female
Wistar rats
Real-time anomaly detection and mitigation using streaming telemetry in SDN
Measurement and monitoring are crucial for various network tasks such as
traffic engineering, anomaly detection, and intrusion prevention. The
success of critical capabilities such as anomaly detection and
prevention depends on whether the utilized network measurement method is
able to provide granular, near real-time, low-overhead measurement data
or not. In addition to the measurement method, the anomaly detection and
mitigation algorithm is also essential for recognizing normal and
abnormal traffic patterns in such a huge amount of measured data with
high accuracy and low latency. Software-defined networking is an
emerging concept to enable programmable and efficient measurement
functions for these kinds of challenging requirements. In this paper, we
present a new, real-time, model-driven anomaly detection and mitigation
platform. Model-driven streaming telemetry and exponential smoothing are
the underlying approaches of the platform. A customized collector is
proposed to gather streaming telemetry metrics, and Holt's prediction
algorithm is improved to handle real-time streaming data and decrease
false positives. The developed system is tested on a campus network and
the success rate of the system is calculated as 92\%