Antecedents and Consequences of Child Externalizing Problems: Differences in Dynamic Parent-Child Processes.

Given that noncompliance is the most common externalizing problem during middle childhood and reliably predicts significant conduct problems, innovations in elucidating its etiology are sorely needed. Evaluation of in-the-moment antecedents and consequences of child noncompliance improves traction on this goal, given that multiple theories contend that child noncompliance and parent behavior mutually influence each other through negative reciprocation as well as contingent praise processes. Among a sample of 140 families (child age: 6-10 years; 32.1% female), the present study capitalized on intensive repeated measures of observed child noncompliance and parent negative talk and praise objectively coded during three unique tasks. We employed dynamic structural equation modeling to evaluate within-dyad parent-child behavioral dynamics and between-dyad differences therein. Results provided mixed support for hypotheses and suggested that antecedents and consequences of child noncompliance differed according to task demands and child ADHD symptoms. Contrary to models of coercive cycles, during child-led play, parent negative talk was more likely following prior child noncompliance, but child noncompliance was less likely following prior parent negative talk. As expected, during parent-led play, parent praise was less likely following prior child noncompliance, which was also less likely following prior parent praise. Relative to youth with fewer symptoms, for children with elevated ADHD symptoms, during a challenging clean-up task, child noncompliance was less stable and less contingent on prior parent negative talk. Results are discussed in terms of their implications of real-time parent-child interactions for typical and atypical development of externalizing problems.

Thermoelectric Energy Micro Harvesters with Temperature Sensors Manufactured Utilizing the CMOS-MEMS Technique.

This study develops a TEMH (thermoelectric energy micro harvester) chip utilizing a commercial 0.18 µm CMOS (complementary metal oxide semiconductor) process. The chip contains a TEMH and temperature sensors. The TEMH is established using a series of 54 thermocouples. The use of the temperature sensors monitors the temperature of the thermocouples. One temperature sensor is set near the cold part of the thermocouples, and the other is set near the hot part of the thermocouples. The performance of the TEMH relies on the TD (temperature difference) at the CHP (cold and hot parts) of the thermocouples. The more the TD at the CHP of the thermocouples increases, the higher the output voltage and output power of the TEMH become. To obtain a higher TD, the cold part of the thermocouples is designed as a suspended structure and is combined with cooling sheets to increase heat dissipation. The cooling sheet is constructed of a stack of aluminum layers and is mounted above the cold part of the thermocouple. A finite element method software, ANSYS, is utilized to compute the temperature distribution of the TEMH. The TEMH requires a post-process to obtain the suspended thermocouple structure. The post-process utilizes an RIE (reactive ion etch) to etch the two sacrificial materials, which are silicon dioxide and silicon substrate. The results reveal that the structure of the thermocouples is completely suspended and does not show any injury. The measured results reveal that the output voltage of the TEMH is 32.5 mV when the TD between the CHP of the thermocouples is 4 K. The TEMH has a voltage factor of 8.93 mV/mm2K. When the TD between the CHP of the thermocouples is 4 K, the maximum output power of the TEMH is 4.67 nW. The TEMH has a power factor of 0.31 nW/mm2K2.

Calmodulin mutant in central linker reduces the binding affinity with PreIQ and IQ while interacting with CaV1.2 channels.

Calmodulin (CaM) was reported to interact with PreIQ and IQ of CaV1.2 channels, but to date, no explicit binding sites of CaM were illustrated. Therefore, in the present study, we firstly used MOE (Molecular Operating Environment) for protein-protein docking and we found that the most likely residues of CaM that play an important role in the interface are concentrated in central linker region. Next we examined the binding properties of CaM and its mutants to PreIQ and IQ by GST pull-down assays. Here we confirmed that CaM binds to PreIQ and IQ in a concentration-dependent and [Ca2+]-dependent manner. However, silencing the effect of N-lobe and C-lobe by mutating two Ca2+ binding sites of each lobe abolished [Ca2+]-dependence of CaM binding, but could not influence the combination. And the mutant in central linker reduced the binding of CaM/PreIQ and CaM/IQ especially at low [Ca2+]. We confirmed that N-lobe and C-lobe play vital role in sensing the change of Ca2+, and found that the central linker of CaM is involved in the binding of CaM to CaV1.2 channels in particular at low [Ca2+], not only participates in the combination with PreIQ, but also with IQ.