Differential effects of COVID-19 lockdowns on well-being: interaction between age,gender and chronotype

The unprecedented restrictions imposed due to the COVID-19 pandemic altered our daily habits and severely affected our well-being and physiology. The effect of these changes is yet to be fully understood. Here, we analysed highly detailed data on 169 participants for two to six months, before and during the second COVID-19 lockdown in Israel. We extracted 12 well-being indicators from sensory data of smartwatches and from self-reported questionnaires, filled daily using a designated mobile application. We found that, in general, lockdowns resulted in significant changes in mood, sleep duration, sport duration, social encounters, resting heart rate and number of steps. Examining subpopulations, we found that younger participants (aged 20–40 years) suffered from a greater decline in mood and number of steps than older participants (aged 60–80 years). Likewise, women suffered from a higher increase in stress and reduction in social encounters than men. Younger early chronotypes did not increase their sleep duration and exhibited the highest drop in mood. Our findings underscore that while lockdowns severely impacted our well-being and physiology in general, greater damage has been identified in certain subpopulations. Accordingly, special attention should be given to younger people, who are usually not in the focus of social support, and to women.     

Participative goal-setting: Social, motivational, and cognitive factors.

Examined 3 explanations of why participation in goal setting may lead to increased performance—the social factor of group discussion, the motivational factor of involvement in goal setting, and the cognitive factor of information. A 2?×?2?×?2 experimental design (low and high levels of group discussion, involvement, and information) was used to study 96 predominantly male white collar employees (aged 23–58 yrs) who worked on a simulated personnel selection task. Results indicate that the social and motivational factors of participation increased performance quantity, incidental learning, goal acceptance, group commitment, and satisfaction. The motivational and cognitive factors significantly contributed to performance quality but the cognitive factor did not significantly affect performance quantity and work attitudes. It is suggested that a combination of the 3 factors leads to the highest level of performance. (39 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The Topology,in Model Membranes,of the Core Peptide Derived from the T‐Cell Receptor Transmembrane Domain

The T‐cell receptor–CD3 complex (TCR–CD3) serves a critical role in protecting organisms from infectious agents. The TCR is a heterodimer composed of α‐ and β‐chains, which are responsible for antigen recognition. Within the transmembrane domain of the α‐subunit, a region has been identified to be crucial for the assembly and function of the TCR. This region, termed core peptide (CP), consists of nine amino acids (GLRILLLKV), two of which are charged (lysine and arginine) and are crucial for the interaction with CD3. Earlier studies have shown that a synthetic peptide corresponding to the CP sequence can suppress the immune response in animal models of T‐cell‐mediated inflammation, by disrupting proper assembly of the TCR. As a step towards the understanding of the source of the CP activity, we focused on CP in egg phosphatidylcholine/cholesterol (9:1, mol/mol) model membranes and determined its secondary structure, oligomerization state, and orientation with respect to the membrane. To achieve this goal, 15‐residue segments of TCRα, containing the CP, were synthesized and spin‐labeled at different locations with a nitroxide derivative. Electron spin‐echo envelope modulation spectroscopy was used to probe the position and orientation of the peptides within the membrane, and double electron–electron resonance measurements were used to probe its conformation and oligomerization state. We found that the peptide is predominantly helical in a membrane environment and tends to form oligomers (mostly dimers) that are parallel to the membrane plane.     

Achieving 1/2 log (1+SNR) on the AWGN channel with lattice encoding and decoding

We address an open question, regarding whether a lattice code with lattice decoding (as opposed to maximum-likelihood (ML) decoding) can achieve the additive white Gaussian noise (AWGN) channel capacity. We first demonstrate how minimum mean-square error (MMSE) scaling along with dithering (lattice randomization) techniques can transform the power-constrained AWGN channel into a modulo-lattice additive noise channel, whose effective noise is reduced by a factor of /spl radic/(1+SNR/SNR). For the resulting channel, a uniform input maximizes mutual information, which in the limit of large lattice dimension becomes 1/2 log (1+SNR), i.e., the full capacity of the original power constrained AWGN channel. We then show that capacity may also be achieved using nested lattice codes, the coarse lattice serving for shaping via the modulo-lattice transformation, the fine lattice for channel coding. We show that such pairs exist for any desired nesting ratio, i.e., for any signal-to-noise ratio (SNR). Furthermore, for the modulo-lattice additive noise channel lattice decoding is optimal. Finally, we show that the error exponent of the proposed scheme is lower bounded by the Poltyrev exponent.     

An Efficient Noninteractive Zero-Knowledge Proof System for NP with General Assumptions

We consider noninteractive zero-knowledge proofs in the shared random string model proposed by Blum et al. [5]. Until recently there was a sizable polynomial gap between the most efficient noninteractive proofs for NP based on general complexity assumptions [11] versus those based on specific algebraic assumptions [7]. Recently, this gap was reduced to a polylogarithmic factor [17]; we further reduce the gap to a constant factor. Our proof system relies on the existence of one-way permutations (or trapdoor permutations for bounded provers). Our protocol is stated in the hidden bit model introduced by Feige et al. [11]. We show how to prove that an n -gate circuit is satisfiable, with error probability 1/n ^O(1) , using only O(n lg n) random committed bits. For this error probability, this result matches to within a constant factor the number of committed bits required by the most efficient known interactive proof systems. Received 20 November 1995 and revised 7 October 1996     

Coronary artery operation in patients after breast cancer therapy

OBJECTIVE: The purpose of this investigation was to retrospectively study the outcome of patients undergoing coronary artery operation who were previously treated for breast cancer. METHODS: Between July 1992 and December 1996, 28 patients with a history of breast cancer underwent coronary artery bypass graft operation and were randomly matched against a noncancer group of similar size (n = 36) to allow for comparison of their preoperative characteristics, operative course, and postoperative outcome. RESULTS: The incidence of sternal wound infection was significantly higher in the cancer group than in the control group (25% versus 6%; p = 0.027). Postoperative noncardiac chest pain occurred more frequently in the cancer group than in the control group (52% versus 31%; not significant). In the study group, radiotherapy and recent myocardial infarction were the only two independent factors associated with sternal wound complications. Patients with a less than 17-year interval between the breast cancer therapy and the coronary artery operation had a higher incidence of sternal wound infection (46%) as opposed to patients with a longer time interval (7%; p = 0.028; odds ratio = 12). Sternal wound complications were more frequent in patients with a history of right-sided breast cancer (50%) compared with left-sided lesions (12.5%; p = 0.068; odds ratio = 7). CONCLUSIONS: Coronary artery operation in patients after breast cancer therapy may be associated with an increased sternal wound infection rate. To decrease this risk of infection, an approach through a right thoracotomy, minimally invasive techniques, the use of skeletonized internal mammary artery, and broad spectrum antibiotic therapy may be considered.     

Resolving scientific disputes by the joint design of crucial experiments by the antagonists: Application to the Erez–Latham dispute regarding participation in goal setting.

In this monograph we describe a unique method for resolving scientific disputes: the joint design of crucial experiments by the antagonists themselves with the help of a mediator. This method was applied to the issue of the effect of participation on goal commitment and performance. In research on this topic, Latham and his colleagues had obtained markedly different results from those obtained by Erez and her colleagues. With Locke serving as a third party mediator, Latham and Erez designed four experiments to resolve the discrepancies. The experiments were conducted at the University of Washington and the University of Maryland. The results revealed that the major reason for the difference was that Erez gave very brief tell instructions to her assigned goal subjects, whereas Latham used a tell and sell approach. Four additional factors also contributed to the earlier difference in findings: goal difficulty, setting personal goals before goal treatments were introduced, self-efficacy-inducing instructions, and instructions to reject disliked goals. It was concluded that (a) the differences between Latham and Erez can be explained on the basis of differences in specific procedures, and (b) the method used to resolve this dispute should be used by other investigators. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

N2O emissions from streams in the Neuse river watershed, North Carolina

We present N2O emission data from 11 sites in the Neuse River watershed. Emissions were measured using a static surface enclosure technique deployed on eight sites on the main river channel and three tributary sites. Ancillary data collected included dissolved oxygen, nitrate, total nitrogen, ammonium, dissolved organic carbon, total phosphorus, and temperature. Analysis using standard linear models, and classification and regression trees (CART), indicated nitrate to be the primary driving variable associated with N2O emission, although dissolved organic carbon concentration and water temperature were positively related with N2O emission as well. Relationships between nitrate concentration and N2O emission were consistent with those found in previous studies, although the data presented here represent the lower end of the range for both variables among published studies. Using our measured N2O emission rates along with literature values for the ratio of nitrogen gas to N2O produced during denitrification, we estimate N loss via denitrification in the Neuse River is approximately 17% of the annual N load delivered to the estuary.