Emoting infertility online: A qualitative analysis of men's forum posts

Relatively little research on infertility focuses exclusively or significantly on men’s experiences, particularly in relation to emotional aspects. Evidence that does exist around male infertility suggests that it is a distressing experience for men, due to stigma, threats to masculinity and the perceived need to suppress emotions, and that men and women experience infertility differently. Using thematic analysis, this article examines the online emoting of men in relation to infertility via forum posts from a men-only infertility discussion board. It was noted that men ‘talked’ to each other about the emotional burdens of infertility, personal coping strategies and relationships with others. Three major themes were identified following in-depth analysis: ‘the emotional rollercoaster’, ‘the tyranny of infertility’ and ‘infertility paranoia’. This article then offers insights into how men experience infertility emotionally, negotiate the emotional challenges involved (especially pertaining to diagnosis, treatment outcomes and their intimate relationships) and how they share (and find value in doing so) with other men the lived experience of infertility

The Power of No: Satu Kata yang Bisa Membuat Anda Selalu Sehat, Sukses, dan Bahagia

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Conflict In Sex Identification In Boys.

PhDPsychotherapyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/181927/2/5801021.pd

A Schema for Interprocedural Modification Side-Effect Analysis With Pointer Aliasing

The first interprocedural modification side-effects analysis (MODC ) for C that obtains better than worst-case precision on programs with general-purpose pointer usage is presented with empirical results. The analysis consists of an algorithm schema corresponding to a family of MODC algorithms with two independent phases: one for determining pointer-induced aliases and a subsequent one for propagating interprocedural side effects. These MODC algorithms are parameterized by the aliasing method used. The empirical results compare the performance of two dissimilar MODC algorithms: MODC (FSAlias) uses a flow-sensitive, calling-contextsensitive interprocedural alias analysis [LR92]; MODC (FIAlias) uses a flow-insensitive, callingcontext -insensitive alias analysis which is much faster, but less accurate [ZRL96]. These two algorithms were profiled on 45 programs ranging in size from 250 to 30,000 lines of C code, and the results demonstrate dramatically the possible cost-precision tradeo..