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Background: Currently, paradoxical findings exist regarding the level of functioning in individuals with Hikikomori (prolonged social withdrawal).

Aims: This systematic review aimed to clarify the functioning, disability, and health of individuals with Hikikomori and their families in comparison to those without Hikikomori.

Method: Relevant studies were searched from April 22 to 25, 2022, using MEDLINE, PsycINFO, Scopus, and two Japanese databases.

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Aim: The aim of the study is to determine sac volume based on radiological examinations in patients undergoing surgery for myelomeningocele (MMC) and to investigate the relationship of sac volume with hydrocephalus and Chiari malformation type 2 (CM) with a view to determining the optimum length of follow-up and recommend a treatment plan.

Material And Methods: The present study involved the retrospective review of radiologic examinations and medical files of 81 patients who underwent surgery for myelomeningocele between 2015 and 2022 in the neurosurgery clinic of Ankara Training and Research Hospital. Then, MMC sac volumes were measured and the statistical relationship of these measurements with the Evans Index, progressive enlargement of the ventricles after sac repair and CM was investigated.

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Aim: Many combinations of inflammation-based markers have been reported their prognostic ability. The prognostic value of albumin-to-gama-glutamyltransferase ratio (AGR), an inflammation-related index, has been identified for several cancers. However, the predictive value of AGR for high-grade glioma patients remains unclear.

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Aim: Determine if low-cost magnification devices (USB computer microscope, smartphone) enable the acquisition and maintenance of basic microsurgical skills by comparing skills learned using these devices against those learned using a surgical microscope. Determine whether skills acquired using these devices can be transferred to the surgical microscope.

Material And Methods: Twelve neurosurgical participants, ranging from faculty to postgraduate year-1 trainees, were randomly divided into three groups for training using a surgical microscope, smartphone, or USB microscope.

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Objective: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.

Methods: Periapical radiographs of dental implant crowns were classified by two experts based on the presence of vertical misfit (reference group). The misfit area was manually annotated in images exhibiting vertical misfit.

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