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The metabolism of substances such as amino acids and carbohydrates plays a crucial role in the growth and development of silkworms. Analyzing the differential expression of key genes associated with these metabolic processes can help elucidate the molecular mechanisms underlying abnormal development in silkworm mutants. This study conducted and compared transcriptome analyses of individuals from the silkworm mutant perforated small cocoon( psc ) and the wild-type XueSong KD(XSKD) at the third-instar larval stage. A total of 716 differentially expressed genes were identified, including 354 upregulated genes and 362 downregulated genes. Functional annotation based on the KEGG database indicates that these differentially expressed genes were mainly enriched in metabolic pathways related to amino acids, carbohydrates, and lipids, as well as pathways involving neuroactive ligand-receptor interactions. Some key enzyme genes involved in substance metabolism and important neuroreceptor genes played a crucial role in the formation of the psc . In addition, by selecting some differentially expressed genes for qRT-PCR verification, the results indicated that the identification of differentially expressed genes were reliable. This study utilized RNA sequencing technology to screen for differentially expressed genes between the psc mutant and the XSKD. These findings provide important insights into the molecular mechanisms underlying the formation of the abnormal phenotypes in the psc mutant, and they also have certain guiding significance for the breeding of high-quality large cocoon silkworm varieties.

Cocoon sorting is one of the most labor-demanding activities required both at the end of the agricultural production and before the industrial reeling process to obtain an excellent silk quality. In view of the possible relaunch of European sericulture, the automatization of this production step is mandatory both to reduce silk costs and to standardize fiber quality. The described research starts from this criticality in silk production (the manual labor required to divide cocoons into different quality classes) to identify amelioration solutions. To this aim, the automation of this activity was proposed, and a first prototype was designed and built. This machinery is based on the use of three cameras and imaging algorithms identifying the shape and size of the cocoons and outside stains, a custom-made light sensor and an AI model to discard dead cocoons. The current efficiency of the machine is about 80 cocoons per minute. In general, the amelioration obtained through this research involves both the application of traditional sensors/techniques to an unusual product and the design of a dedicated sensor for the identification of dead/alive pupae inside the silk cocoons. A general picture of the overall efficiency of the new cocoon-sorting prototype is also outlined.

This study considers the mechanical response of Bombyx mori silk cocoons to knife stabbing, a simple but controlled way of simulating predaceous penetration. Here, we stab test both entire cocoons (EC) and cocoon wall segments (CWS) statically and dynamically, and note that the process can be broken down in three stages. The first stage involves material deflection, the second is knife penetration, and the third is knife perforation. It is found that ca. 95 % of the kinetic energy is lost during the penetration stage. There are noticeable differences in strain between the equatorial ( = 13 %) and meridional ( = 1.5 %) directions before and after the stabbing of EC specimens (p <0.001). The apparent area of the cocoon is noted to be on average 7 % lower after stabbing than it is prior to being stabbed (p <0.01). It is found that while compression of the cocoon from stabbing results in equatorial expansion (with a Poisson's ratio, ν = 0.25), in the meridional direction the cocoon contracts (ν = ‐0.05) thus displaying auxetic behavior. Force‐deflection curves are different in CWS specimens as compared to EC specimens, and this is attributable to natural curvatures in CWS specimens remaining even after a being flattened for mounting and testing. Differences between EC and CWS specimens are also noticeable in the sizes of the stab footprints, with EC samples exhibiting 33 % smaller footprints than CWS samples (p < 0.001). It is concluded that testing whole cocoon structures provides a more accurate understanding of their properties as compared to cut and flattened structures. This is because flattening cocoon wall specimens induces delamination and multiple failure zones, reducing the natural stab resistance of the material.

Personal academic preferences and information filtering mechanisms may create information cocoon akin to those observed in social media within the academic sphere. In this study, we propose a novel methodology for measuring academic cocoon by examining both academic disparity and diversity. Disparity indicates the distance between scholars’ current research and both their previous work and that of their peers; diversity reflects the variety of topics covered in scholars’ publications and the breadth of their references. Particularly, we derive the semantic and topic representations of the paper using Sentence-BERT and BERTopic, respectively. From these insights, we formulate five distinct metrics that capture these two dimensions. We conduct empirical experiments on a collection of papers in S2ORC from 1980 to 2020. The findings indicate that scholars across nearly all disciplines are experiencing a downward trend in academic cocooning. The correlation analysis between citation count, Disruptive Index (DI), and the degree of academic cocooning indicates that a smaller academic cocoon tends to result in higher academic impact. This study provides fresh insights into academic cocoon and individual career development within academia.

The classification of silkworm cocoons is essential prior to silk reeling and serves as a key step in improving the quality of raw silk. At present, cocoon classification mainly relies on manual sorting, which is labor-intensive and inefficient. In this paper, a cocoon detection algorithm S-YOLOv8_c based on the cooperation of MobileSAM and YOLOv8 for the mountage cocoons was proposed. The MobileSAM with a designed area thresholding algorithm was used for the semantic segmentation of mountage cocoon images, which could mitigate the effect of complex backgrounds and maximize the discriminability of cocoon features. Subsequently, the BiFPN was added to the neck of YOLOv8 to improve the multiscale feature fusion capability. The loss function was replaced with the WIoU, and a dynamic non-monotonic focusing mechanism was introduced to improve the generalization ability. In addition, the GAM was incorporated into the head to focus on detailed cocoon information. Finally, the S-YOLOv8_c achieved a good detection accuracy on the test set, with a mAP of 95.8%. Furthermore, to experimentally validate the sorting ability, we deployed the proposed model onto the self-developed Cartesian coordinate automatic cocoon harvester, which indicated that it would effectively meet the requirements of accurate and efficient cocoon sorting.

Cocoon is a kind of natural biopolymer material with reasonable structure and various functions. However, its structure and functions are often destroyed in practical application. In this study, we took common Bombyx Mori as the research object, and provided different cocooning sites for single or multiple silkworms to construct common stereoscopic cocoons (“normal cocoons” [NC]) and flat cocoons (“single-silkworm flat cocoons” [SFC] and “multi-silkworm flat cocoons” [MFC]), respectively, and compared the morphological structure and basic properties of these cocoons. The study found that the flat cocoons have similar multi-layered variable structure and characteristics compared to those of the common cocoons; also, morphological characteristics and physical and chemical properties of silk fiber from outer layer to inner layer, such as sericin content, fiber fineness, and change rule of basic mechanical properties, are completely consistent with those of the common cocoons. It can be considered that the flat cocoons are constructed by silkworms in the same “procedural” process as that of common cocoons. Due to the expansion of cocooning space, the mechanical properties of fibers are significantly improved. By controlling the size of the cocooning space or the quantity of silkworms cocooning simultaneously, and the time of spinning, a cocoon material with controllable thickness, weight per square meter, porosity, and number of cocoon layers can be obtained as a composite material for direct application.

The phytochemicals of high nutritional and functional properties in Lepidium sativum L. (garden cress) seeds have nominated their seed powder (regardless of the concentration used) for enrichment of mulberry leaves in order to enhance Bombyx mori L. larval feeding, and consequently to gain ground in sericulture industry. As expected, B. mori larval feeding on L. sativum- enriched mulberry leaves showed not only a remarkable increase in mean values of certain economic parameters of B. mori , such as cocoon weight, cocoon shell weight, pupal weight, and egg yield, compared with the control group, but also showed a phenomenal increase in egg counts (on average, ca. 958–1256 eggs laid per female moth) and a significant increase in egg size (measured as egg surface area and egg volume). Male or female moth larval diet has significantly influenced the reproductive performance or fitness of both sexes of B. mori in terms of large-sized moths (measured as forewing, hind femur, and hind tibia lengths) and highly fecund moths (i.e., increased fecundity and spermatophore counts per female moth, and large-sized eggs). On the basis of B. mori female moth reproductive index, the female moths from L. sativum -fed larvae proved to have a lower reproductive index compared to their corresponding value for females of the control group, indicating more efficient utilization of larval resources for B. mori reproduction. Quantification of the three main physiological resources viz., protein, lipid and carbohydrate in the internal reproductive tract of B. mori female moths at death has nominated the female moth abdomens, or simply their bodies, as being a reasonable natural source of protein, lipid, and carbohydrate, to be involved in certain manufactures (e.g., pet feed formulations) instead of discarding them as a source of environmental pollution. Evidently, the L. sativum seed powder is of considerable interest because it remarkably improves the performance of such an economically important insect, B. mori . This is the first study for evaluating the efficacy of L. sativum seed powder in sericulture field to enhance B. mori productivity parameters.

Flexible sensors are becoming the focus of research because they are very vital for intelligent products, real-time data monitoring, and recording. The flat silk cocoon (FSC), as a special form of cocoon, has all the advantages of silk, which is an excellent biomass carbon-based material and a good choice for preparing flexible sensors. In this work, a flexible piezoresistive sensor was successfully prepared by encapsulating carbonized flat silk cocoons (CFSCs) using an elastic matrix polydimethylsiloxane (PDMS). The sensing performance of the material is 0.01 kPa−1, and the monitoring range can reach 680.57 kPa. It is proved that the sensor can detect human motion and has excellent durability (>800 cycles). In addition, a sensor array for a keyboard based on CFSCs was explored. The sensor has a low production cost and a simple preparation process, and it is sustainable and environmentally friendly. Thus, it may have potential applications in wearable devices and human–computer interactions.

Previous studies have documented that Chlorella sorokiniana could grow well on cooking cocoon wastewater (CCW) with a maximum biomass of 0.49 g/L. In order to further enhance the biomass production and nutrient removals, a bubble-column bioreactor was designed and performed to cultivate C. sorokiniana in CCW, and two main cultivation parameters were investigated in this work. Results showed that a maximum algal biomass, specific growth rate, and biomass productivity of 2.83 g/L, 0.854 d−1, and 476.25 g/L/d, respectively, were achieved when this alga was cultivated in the bioreactor with an initial cell density of 0.8 g/L and an aeration rate of 3.34 L air/L culture/min; meanwhile, removal efficiencies of ammonium, total nitrogen, total phosphorus, and chemical oxygen demand reached 97.96, 85.66, 97.96, and 86.43%, respectively, which were significantly higher than that obtained in our previous studies. Moreover, chemical compositions in the algal cells varied with the changes of cultivation conditions (i.e., initial cell density and aeration rate). Thus, it is concluded that (1) the bubble-column bioreactor was suitable for cultivation of C. sorokiniana coupled with the CCW treatment and (2) initial cell density and aeration rate affected the biomass production, nutrient removals and chemical compositions of this alga.