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Alan Mintz's Ancestral Tales provides the fullest critical account of Agnon's A City in Its Fullness, Agnon's posthumous volume of stories about his Galician hometown from its beginnings until the eighteenth century. It is likely to remain the definitive account. Many of the readings are innovative, and all are informed by a rich sense of the cultural and historical backgrounds on which Agnon drew. Although some of the claims made for the artistic achievement of the Agnon volume may be overstated, this last book by Alan Mintz remains an important achievement.

This study aimed to utilize the nonnegative matrix factorization (NNMF) algorithm for muscle synergy analysis, extracting synergy structures and muscle weightings and mining biomarkers reflecting changes in muscle fatigue from these synergy structures. A leg press exercise to induce fatigue was performed by 11 participants. Surface electromyography (sEMG) data from seven muscles, electrocardiography (ECG) data, Borg CR-10 scale scores, and the z-axis acceleration of the weight block were simultaneously collected. Three indices were derived from the synergy structures: activation phase difference, coactivation area, and coactivation time. The indicators were further validated for single-leg landing. Differences in heart rate (HR) and heart rate variability (HRV) were observed across different fatigue levels, with varying degrees of disparity. The median frequency (MDF) exhibited a consistent decline in the primary working muscle groups. Significant differences were noted in activation phase difference, coactivation area, and coactivation time before and after fatigue onset. Moreover, a significant correlation was found between the activation phase difference and the coactivation area with fatigue intensity. The further application of single-leg landing demonstrated the effectiveness of the coactivation area. These indices can serve as biomarkers reflecting simultaneous alterations in the central nervous system and muscle activity post-exertion.

The emergence of resistance during multidrug chemotherapy impedes the treatment of many human diseases, including malaria, TB, HIV, and cancer. Although certain combination therapies have long been known to be more effective in curing patients than single drugs, the impact of such treatments on the evolution of drug resistance is unclear. In particular, very little is known about how the evolution of resistance is affected by the nature of the interactions--synergy or antagonism--between drugs. Here we directly measure the effect of various inhibitory and subinhibitory drug combinations on the rate of adaptation. We develop an automated assay for monitoring the parallel evolution of hundreds of Escherchia coli populations in a two-dimensional grid of drug gradients over many generations. We find a correlation between synergy and the rate of adaptation, whereby evolution in more synergistic drug combinations, typically preferred in clinical settings, is faster than evolution in antagonistic combinations. We also find that resistance to some synergistic combinations evolves faster than resistance to individual drugs. The accelerated evolution may be due to a larger selective advantage for resistance mutations in synergistic treatments. We describe a simple geometric model in which mutations conferring resistance to one drug of a synergistic pair prevent not only the inhibitory effect of that drug but also its enhancing effect on the other drug. Future study of the profound impact that synergy and other drug-pair properties can have on the rate of adaptation may suggest new treatment strategies for combating the spread of antibiotic resistance.

Our paper elaborates the effects of resource relatedness on value of a multibusiness firm. We emphasize that value results from interplay of benefits of synergy and redeploy ability. This view, considering how synergy and redeploy ability interact in determining value, extends prior separate considerations of the two benefits. We also diagnose that the value effect of resource relatedness is contingent on uncertainty and specify this contingent relationship. We use the real option valuation approach and formally evaluate the impacts of the two effects of relatedness. This explication enables us to demonstrate how redeployability contributes to value beyond synergy, and how they contribute in tandem. In this sense, we illuminate previously undiagnosed value in multibusiness firms. Beyond theoretical implications, our results have important empirical and managerial implications.

Acquisitions can dramatically reshape interorganizational networks by combining previously separate nodes and allowing the acquirer to inherit the target’s ties, potentially creating network synergy. Network synergy is the extent to which combining an acquirer’s and a target’s networks through node collapse results in a more favorable structural position for the combined firm as the acquirer gains control of the target’s existing ties. We hypothesize that the likelihood of selecting a target increases when the expected network synergy is greater. Using data from the biotechnology industry (1995–2007), we find support for this hypothesis by showing that acquirers prefer targets that generate greater expected increases in network status and greater expected access to structural holes—even when we control for other known sources of synergies. We further show that these effects are driven by complementary combinations of the acquirer’s and target’s networks that go beyond the attractiveness of the target’s network per se. By integrating the networks and acquisitions literatures, we introduce a novel source of synergies, provide evidence of a previously unexplored mechanism of network change, and show how firms can exert agency in the process of network change.

Bacteriophage (phage) therapy is a promising approach to combat the rise of multidrug-resistant bacteria. Currently, the preferred clinical modality is to pair phage with an antibiotic, a practice thought to improve efficacy. However, antagonism between phage and antibiotics has been reported, the choice of phage and antibiotic is not often empirically determined, and the effect of the host factors on the effectiveness is unknown. Here, we interrogate phage-antibiotic interactions across antibiotics with different mechanisms of action. Our results suggest that phage can lower the working MIC for bacterial strains already resistant to the antibiotic, is dependent on the antibiotic class and stoichiometry of the pairing, and is dramatically influenced by the host microenvironment. The continued rise in antibiotic resistance is precipitating a medical crisis. Bacteriophage (phage) has been hailed as one possible therapeutic option to augment the efficacy of antibiotics. However, only a few studies have addressed the synergistic relationship between phage and antibiotics. Here, we report a comprehensive analysis of phage-antibiotic interaction that evaluates synergism, additivism, and antagonism for all classes of antibiotics across clinically achievable stoichiometries. We combined an optically based real-time microtiter plate readout with a matrix-like heat map of treatment potencies to measure phage and antibiotic synergy (PAS), a process we term synography. Phage-antibiotic synography was performed against a pandemic drug-resistant clonal group of extraintestinal pathogenic Escherichia coli (ExPEC) with antibiotic levels blanketing the MIC across seven orders of viral titers. Our results suggest that, under certain conditions, phages provide an adjuvating effect by lowering the MIC for drug-resistant strains. Furthermore, synergistic and antagonistic interactions are highly dependent on the mechanism of bacterial inhibition by the class of antibiotic paired to the phage, and when synergism is observed, it suppresses the emergence of resistant cells. Host conditions that simulate the infection environment, including serum and urine, suppress PAS in a bacterial growth-dependent manner. Lastly, two different related phages that differed in their burst sizes produced drastically different synograms. Collectively, these data suggest lytic phages can resuscitate an ineffective antibiotic for previously resistant bacteria while also synergizing with antibiotics in a class-dependent manner, processes that may be dampened by lower bacterial growth rates found in host environments. IMPORTANCE Bacteriophage (phage) therapy is a promising approach to combat the rise of multidrug-resistant bacteria. Currently, the preferred clinical modality is to pair phage with an antibiotic, a practice thought to improve efficacy. However, antagonism between phage and antibiotics has been reported, the choice of phage and antibiotic is not often empirically determined, and the effect of the host factors on the effectiveness is unknown. Here, we interrogate phage-antibiotic interactions across antibiotics with different mechanisms of action. Our results suggest that phage can lower the working MIC for bacterial strains already resistant to the antibiotic, is dependent on the antibiotic class and stoichiometry of the pairing, and is dramatically influenced by the host microenvironment.

PurposeThis study aims to identify which elements of the vending marketing mix are the main sources of competitive advantage for the industry, how they impact vending profitability, and what are their related synergistic effects.Design/methodology/approachA full factorial experiment was developed to determine the effect of eight marketing mix scenarios on the profitability of a new vending channel in a French university library and assess the synergistic effects among three elements of a marketing mix (i.e. product quality, payment system, internal location) identified in a focus group as new sources of industry competitive advantage.FindingsAlthough the main effects of product quality and payment system were weak-to-modest and insignificant, their interaction effect significantly impacted the daily net profit of the vending channel and generated the highest net synergy. The results partially challenge the marketing synergy axiom as internal location separately had a stronger impact on profitability than product quality and higher-order interaction effects do not necessarily translate into higher synergistic effects.Research limitations/implicationsThis research was conducted in a real-life setting and has its limitations, which future researchers can overcome by extending the temporal, geographic and product scope of the study.Originality/valueThe distinction that we introduced between gross and net synergy allowed us to partially challenge the prevailing marketing mix assumption that synergy is always positive (i.e. that a vending retailer can achieve synergy by selecting a combination of marketing mix elements instead of relying on them separately). Moreover, by demonstrating that marketing synergy is not a uni- but a bi-dimensional concept, we provide vending retailers with a better methodological understanding of why they may have already fallen into the synergy trap and how to avoid it in the future.

Flexible electro‐optical dual‐mode sensor fibers with capability of the perceiving and converting mechanical stimuli into digital‐visual signals show good prospects in smart human‐machine interaction interfaces. However, heavy mass, low stretchability, and lack of non‐contact sensing function seriously impede their practical application in wearable electronics. To address these challenges, a stretchable and self‐powered mechanoluminescent triboelectric nanogenerator fiber (MLTENGF) based on lightweight carbon nanotube fiber is successfully constructed. Taking advantage of their mechanoluminescent‐triboelectric synergistic effect, the well‐designed MLTENGF delivers an excellent enhancement electrical signal of 200% and an evident optical signal whether on land or underwater. More encouragingly, the MLTENGF device possesses outstanding stability with almost unchanged sensitivity after stretching for 200%. Furthermore, an extraordinary non‐contact sensing capability with a detection distance of up to 35 cm is achieved for the MLTENGF. As application demonstrations, MLTENGFs can be used for home security monitoring, intelligent zither, traffic vehicle collision avoidance, and underwater communication. Thus, this work accelerates the development of wearable electro‐optical textile electronics for smart human‐machine interaction interfaces. Stretchable and self‐powered mechanoluminescent triboelectric nanogenerator fiber (MLTENGF) is successfully assembled for smart human‐machine interaction applications. Benefiting from their mechanoluminescent‐triboelectric synergistic effect, the resulting MLTENGF demonstrates prominent electro‐optical signals in response to mechanical stimulus in amphibious environments. Furthermore, such MLTENGF possesses remarkable non‐contact capability with a detection distance of as high as 35 cm.