Uncovering potential distinctive acoustic features of healing music

S Background Music therapy is a promising complementary intervention for addressing various mental health conditions.Despite evidence of the beneficial effects of music,the acoustic features that make music effective in therapeutic contexts remain elusive.Aims This study aimed to identify and validate distinctive acoustic features of healing music.Methods We constructed a healing music dataset(HMD)based on nominations from related professionals and extracted 370 acoustic features.Healing-distinctive acoustic features were identified as those that were(1)independent from genre within the HMD,(2)significantly different from music pieces in a classical music dataset(CMD)and(3)similar to pieces in a five-element music dataset(FEMD).We validated the identified features by comparing jazz pieces in the HMD with a jazz music dataset(JMD).We also examined the emotional properties of the features in a Chinese affective music system(CAMS).Results The HMD comprised 165 pieces.Among all the acoustic features,74.59%shared commonalities across genres,and 26.22%significantly differed between the HMD classical pieces and the CMD.The equivalence test showed that the HMD and FEMD did not differ significantly in 9.46%of the features.The potential healing-distinctive acoustic features were identified as the standard deviation of the roughness,mean and period entropy of the third coefficient of the mel-frequency cepstral coefficients.In a three-dimensional space defined by these features,HMD's jazz pieces could be distinguished from those of the JMD.These three features could significantly predict both subjective valence and arousal ratings in the CAMS.Conclusions The distinctive acoustic features of healing music that have been identified and validated in this study have implications for the development of artificial intelligence models for identifying therapeutic music,particularly in contexts where access to professional expertise may be limited.This study contributes to the growing body of research exploring the potential of digital technologies for healthcare interventions.

Deep learning enhanced NIR-Ⅱ volumetric imaging of whole mice vasculature

Fluorescence imaging through the second near-infrared window(NIR-Ⅱ,1000–1700 nm) allows in-depth imaging.However, current imaging systems use wide-field illumination and can only provide low-contrast 2D information, without depth resolution. Here, we systematically apply a light-sheet illumination, a time-gated detection, and a deep-learning algorithm to yield high-contrast high-resolution volumetric images. To achieve a large Fo V(field of view) and minimize the scattering effect, we generate a light sheet as thin as 100.5 μm with a Rayleigh length of 8 mm to yield an axial resolution of 220 μm. To further suppress the background, we time-gate to only detect long lifetime luminescence achieving a high contrast of up to 0.45 Icontrast. To enhance the resolution, we develop an algorithm based on profile protrusions detection and a deep neural network and distinguish vasculature from a low-contrast area of 0.07 Icontrast to resolve the 100μm small vessels. The system can rapidly scan a volume of view of 75 × 55 × 20 mm3and collect 750 images within 6mins. By adding a scattering-based modality to acquire the 3D surface profile of the mice skin, we reveal the whole volumetric vasculature network with clear depth resolution within more than 1 mm from the skin. High-contrast large-scale 3D animal imaging helps us expand a new dimension in NIR-Ⅱ imaging.

Mapping Heterotic Loci for Yield and Agronomic Traits Using Chromosome Segment Introgression Lines in Cotton

In the present study, a set of chromosome segment introgression lines （CSILs） using Gossypium hirsutum L. TM-1 as the recipient parent and G. barbadense Hai7124 as the donor parent were used to explore the genetic basis of heterosis for interspecific hybrids. Two sets of F1 populations individually derived from CSILs crossing with both parents were configured to investigate heterotic loci （HL） and substitution effect loci （SL）. A total of 58 HL and 39 SL were identified in 3 years. One stable HL, hLP-A4-3, could be detected in all 3 years. Three HLs, hBS-A8-1, hLP-D6-1, and hSI-D7-11, could be detected in 2 years. Four SLs, sBSoD7- 1, sLP-A8-1, sLP-D7-1, and sLP-D12-1, could be detected in 2 years. HL and SL tended to be distributed in some HL-rich chromosome segments with close positions. Compared with QTL detected in a former study, HL showed little overlap with QTL, indicating that trait phenotype and heterosis might be controlled by different sets of loci. All three forms of genetic effects （partial-, full-, over-dominant） were identified, while the over-dominant effect made the main contribution to heterosis. These results may help lay the foundation for clarifying the heredity mechanism of heterosis in cotton.

Adaptor protein APPL1 interacts with EGFR to orchestrate EGF-stimulated signaling

表皮的生长因素受体(EGFR ) 调停调整细胞移植，增长，和区别的多重发信号小径。适配器蛋白质 APPL1 被报导了作为表明小径的 EGFR 的一个下游的受动器工作。然而，表明遗体的 EGFR 下游地位于 APPL1 的角色下面的分子的机制逃犯。这里，我们作为与 EGFR 交往的一个批评分子识别了 APPL1。由 siRNA 的 APPL1 的抑制禁止了刺激 EGF 的 Akt phosphorylation。机能上地，房间的 EGF 刺激在 Ser636 引起了 APPL1 的 phosphorylation，它随后支持了在 APPL1 和 EGFR 之间的相互作用，显示 APPL1 敏化由发信号的 EGFR 下游地在一个地点行动的 EGF 刺激。重要地， APPL1 变异的 non-phosphorylatable 以一种 Akt 依赖的方式与野类型的 APPL1 相比减少了房间移植。我们的学习在 EGF 发信号揭示 APPL1 的新奇功能并且定义在 EGF 刺激之上的 APPL1 的 phosphorylation 由调整位于刺激 EGF 的 Akt 小径下面的房间移植的新奇分子的机制。

Finely Tuning the Lower Critical Solution Temperature of Ionogels by Regulating the Polarity of Polymer Networks and Ionic Liquids

Nonvolatile ionogels have recently emerged as promising soft electrolyte materials due to their high ionic conductivity and good durability.However,the compatibility between polymer networks and ionic liquids(ILs),which show significant influence on the physicochemical properties of the ionogels,has been rarely studied.Herein,we elucidate a lower critical solution temperature(LCST)-type phase behavior of ionogels composed of polyacrylates and hydrophobic 1-alkyl-3-methylimidazolium bis{(trifluoromethyl)sulfonyl}amide ILs.We systematically study the structural effects of ILs and monomers on the LCST of ionogels.Our work illustrates that the LCST of ionogels is primarily determined by the polarity of polymer side chains and the alkyl chain on cations of ILs.The oriented solvation between polymers and ILs caused by hydrogen-bonding effects and van der Waals interactions may serve as the driving force for the LCST phase behavior in our system.Furthermore,by varying the mixing ratio of two structurally similar ILs in their blends,the LCST of ionogels can be tuned to exhibit a linear variation within a wide temperature range(from subzero to over 200℃).Finally,thermoresponsive ionogels with desired patterns are prepared using photomasks.These nonvolatile ionogels with tunable LCST enriched the functionality of state-of-the-art ionogels,which provides insight into the design and fabrication of smart and flexible electronic/optical devices.

Emerging role of machine learning in light-matter interaction

Machine learning has provided a huge wave of innovation in multiple fields,including computer vision,medical diagnosis,life sciences,molecular design,and instrumental development.This perspective focuses on the implementation of machine learning in dealing with light-matter interaction,which governs those fields involving materials discovery,optical characterizations,and photonics technologies.We highlight the role of machine learning in accelerating technology development and boosting scientific innovation in the aforementioned aspects.We provide future directions for advanced computing techniques via multidisciplinary efforts that can help to transform optical materials into imaging probes,information carriers and photonics devices.

A Peridynamic Model for Dynamic Fracture of Layered Engineered Cementitious Composites

In this paper,a peridynamic model for simulating the dynamic fracture in layered engineered cementitious composites(LECC)is applied.The model takes into account the location information of the fibers as well as the distribution form.In addition,numerical simulations of LECC beams under four-point bending are carried out.The effects of notch size and fiber volume fraction are investigated.The numerical results show that the notch size and gradient distribution of fiber volume fraction affect the crack propagation pattern,which can help to understand the dynamic fracture behavior of engineered cementitious composites.

Flexible Dry Hydrogel with Lamella-Like Structure Engineered via Dehydration in Poor Solvent

Hydrogels are among the most promising biologic materials in recent technology with numerous desired applications,including serving as biosensors,drug delivery vehicles,and tissue-engineered products for cell matrices.However,they often dehydrate,and become stiff and brittle in air,causing loss of flexibility and functions.Several layered structures have been proven to increase the strength,toughness,and even flexibility of these materials,which might provide a new clue for the sustenance of the flexibility of drying gels.Herein,we report a novel solvent-dehydrated hydrogel engineering approach,aimed to change the inner structure and keep the flexibility of a dehydrated hydrogel in the air via solvent-induced dehydration,for example,acetonedehydrated polyacrylic acid hydrogel.This flexible dry gel could be folded,twisted,and stretched without any damage due to the assumed lamella-like structures,contrary to dry gels without these microstructures or those with porous structures,which retain brittle consistency.The flexible dry gel also exhibited excellent self-healing capability with the assistance of solvents.Fascinatingly,this flexible gel film displayed strain-visualizing paper writing/erasing performance properties,with water acting as invisible ink.Thus,this fabricated flexible hydrogel film might function as confidential information storage material.Our current approach is versatile,hence applicable to other hydrogels,and provides insight into the engineering of other functional gels for extended future applications.