Search

Abstract Background Quercus aliena is a major montane tree species of subtropical and temperate forests in China, with important ecological and economic value. In order to reveal the species’ population dynamics, genetic diversity, genetic structure, and association with mountain habitats during the evolutionary process, we re-sequenced the genomes of 72 Q. aliena individuals. Results The whole chloroplast and nuclear genomes were used for this study. Phylogenetic analysis using the chloroplast genome dataset supported four clades of Q. aliena, while the nuclear dataset supported three major clades. Sex-biased dispersal had a critical role in causing discordance between the chloroplast and nuclear genomes. Population structure analysis showed two groups in Q. aliena. The effective population size sharply declined 1 Mya, coinciding with the Poyang Glaciation in Eastern China. Using genotype–climate association analyses, we found a positive correlation between allele frequency variation in SNPs and temperature, suggesting the species has the capacity to adapt to changing temperatures. Conclusion Overall, this study illustrates the genetic divergence, genomic variation, and evolutionary processes behind the demographic history of Q. aliena.

C30H40N2NiO2, orthorhombic, Pnma (no. 62), a = 12.8114(19) Å, b = 21.301(3) Å, c = 10.6536(16) Å, V = 2907.3(8) Å3, Z = 4, R gt(F) = 0.0290, wR ref(F 2) = 0.0808, T = 273(2) K.

Abstract Background There is minimal data of health outcomes for Type 1 Diabetes (T1D) in Southeast Asia (SEA) where government funding of insulin and blood glucose monitoring either do not exist or is limited. The full impact of Covid-19 pandemic on the national economies of SEA remain unknown. In the midst of the pandemic, in 2021, HelloType1 was developed by Action4Diabetes (A4D), a non-government organisation charity in collaboration with Southeast Asia local healthcare professionals as an innovative digital educational resource platform of T1D in local languages. HelloType1 was launched in Cambodia, Vietnam, Thailand and Malaysia in 2021 to 2022 with Memorandums of Understandings (MOUs) signed between A4D and each country. Internet data analytics were undertaken between the 1st of January 2022 to 31st of December 2022. Aims The aims of this study were to explore the usability and internet data analytics of the HelloType1 online educational platform within each country. Methods The data analytics were extracted Google analytics that tracks data from the website hellotype1.com and Facebook analytics associated with the website. Results There was a 147% increase in the number of HelloType1 users between the first 6 months versus the latter 6 months in 2022 and a 15% increase in the number of pages visited were noted. The majority of traffic source were coming from organic searches with a significant increase of 80% growth in 2022. Conclusions The results of the analytics provide important insights on how an innovative diabetes digital educational resource in local languages may be optimally delivered in low-middle income countries with limited resources.

With the increasing number of software projects, within-project defect prediction (WPDP) has already been unable to meet the demand, and cross-project defect prediction (CPDP) is playing an increasingly significant role in the area of software engineering. The classic CPDP methods mainly concentrated on applying metric features to predict defects. However, these approaches failed to consider the rich semantic information, which usually contains the relationship between software defects and context. Since traditional methods are unable to exploit this characteristic, their performance is often unsatisfactory. In this paper, a transfer long short-term memory (TLSTM) network model is first proposed. Transfer semantic features are extracted by adding a transfer learning algorithm to the long short-term memory (LSTM) network. Then, the traditional metric features and semantic features are combined for CPDP. First, the abstract syntax trees (AST) are generated based on the source codes. Second, the AST node contents are converted into integer vectors as inputs to the TLSTM model. Then, the semantic features of the program can be extracted by TLSTM. On the other hand, transferable metric features are extracted by transfer component analysis (TCA). Finally, the semantic features and metric features are combined and input into the logical regression (LR) classifier for training. The presented TLSTM model performs better on the f-measure indicator than other machine and deep learning models, according to the outcomes of several open-source projects of the PROMISE repository. The TLSTM model built with a single feature achieves 0.7% and 2.1% improvement on Log4j-1.2 and Xalan-2.7, respectively. When using combined features to train the prediction model, we call this model a transfer long short-term memory for defect prediction (DPTLSTM). DPTLSTM achieves a 2.9% and 5% improvement on Synapse-1.2 and Xerces-1.4.4, respectively. Both prove the superiority of the proposed model on the CPDP task. This is because LSTM capture long-term dependencies in sequence data and extract features that contain source code structure and context information. It can be concluded that: (1) the TLSTM model has the advantage of preserving information, which can better retain the semantic features related to software defects; (2) compared with the CPDP model trained with traditional metric features, the performance of the model can validly enhance by combining semantic features and metric features.

C12H8Br2O2, monoclinic, P21/c (no. 14), a = 4.1957(13) Å, b = 13.402(4) Å, c = 11.160(3) Å, β = 99.645(10)°, V = 618.7(3) Å3, Z = 2, Rgt(F) = 0.0287, wRref(F2) = 0.0701, T = 273(2) K.

C12H16Br2O4, monoclinic, P21/n (no. 14), a = 12.594(5) Å, b = 4.4613(16) Å, c = 12.878(4) Å, β = 91.209(12)∘, V = 723.4(4) Å3, Z = 2, R gt(F) = 0.0450, wR ref(F 2) = 0.1103, T = 293 (2) K.

Improving indoor environment quality on university classrooms is a hot research topic. The on-site experiment was conducted on indoor environmental quality regarding temperature, humidity, air pollutants, light and acoustics during different seasonal conditions. The result shows that nearly 25% of indoor particulate matters exceeded the GB18883 standard when the outdoor environmental pollution was severe under natural ventilation conditions in autumn. More than 20% of students experienced symptoms of drowsiness, dizziness, chest tightness, poor breathing, as well as depression and irritability. From the analysis of occupant demand, indoor air pollution and thermal comfort are the most anticipated areas for students to improve their learning environment. This paper proposes an optimal IEQ prediction model integrated with students’ satisfaction and indoor environmental features using machine-learning classification algorithms. The back-propagation neural network shows the high prediction accuracy among different algorithms. The traditional PMV-PPD model shows an accuracy rate of only 28% for thermal sensation prediction, while the highest prediction accuracy obtained through machine learning algorithms is about 75%. Moreover, the influence of individual’s thermal adaptation ability, including gender, long-term thermal experience, and psychological factors, and environmental factors was analyzed in this study.

C8H8N6·C5H9O2, monoclinic, I2/a (no. 15), a = 13.2666(17) Å, b = 11.0435(15) Å, c = 19.778(3) Å, β = 92.707(10)°, V = 2894.4(7) Å3, Z = 8, Rgt(F) = 0.0528, wRref(F2) = 0.1511, T = 293(2) K.

Asarum essential oil (AEO) has been shown to have good pharmacological activities for the anti-inflammatory and analgesic effects, but increasing the dose may cause toxicity. Therefore, we studied the toxic and pharmacodynamic components of AEO by molecular distillation (MD). Anti-inflammatory activity was assessed using RAW264.7 cells. Neurotoxicity was assessed in PC12 cells and the overall toxicity of AEO was evaluated in the mouse acute toxicity assay. The results showed that AEO is primarily composed of safrole, methyl eugenol, and 3,5-dimethoxytoluene. After MD, three fractions were obtained and contained different proportions of volatile compounds relative to the original oil. The heavy fraction had high concentrations of safrole and methyl eugenol, while the light fraction contained high concentrations of α-pinene and β- pinene. The original oil and all three fractions exhibited anti-inflammatory effects, but the light fraction demonstrated more excellent anti-inflammatory activity than the other fractions. Asarum virgin oil and MD products are all neurotoxic. The exposure of PC12 cells to high concentrations of AEO resulted in abnormal nuclei, an increased number of apoptotic cells, increased ROS formation, and decreased SOD levels. Moreover, the results of acute toxicity tests in mice revealed that the light fractions were less toxic than virgin oils and other fractions. In summary, the data suggest that the MD technology enables the enrichment and separation of essential oil components and contributes to the selection of safe concentrations of AEO.

This study aims to investigate the desiccation sensitivity characteristics and the critical moisture content of the recalcitrant Quercus variabilis seed. Additionally, cryopreservation of the recalcitrant seeds were studied. Wild-collected Q. variabilis seeds were used in this research. Differential scanning calorimetry (DSC) was employed to evaluate the critical moisture content and germination indices at different moisture contents were measured. The initial moisture content of the seeds and embryonic axes decreased from 33.1% and 40.9%, respectively, to 10.0%, accompanied by a germination rate decrease of 95.6% and 90.0% to 6.3% and 60.0%, respectively. The theoretical critical moisture content of the embryonic axis was calculated to be 11.55%. As dehydration progressed, drastic changes were observed in the antioxidant enzyme system. Initially, the levels of PRO and SOD in the seeds increased and then decreased, while the levels of POD and MDA consistently increased. The cryopreservation of the embryonic axis was achieved using vitrification. The embryonic axis with a moisture content of 10% had a 15% survival rate when pretreated with PVS2 for 60 min prior to cryopreservation. The results demonstrated that the cryopreservation of the Q. variabilis embryonic axis is possible, but the method needs adjustment to increase the recovery survival rate.

Background: Aging can induce oxidative stress, inflammation and mucosal impairment, and few works have been conducted to investigate the protective effects of WP on the natural intestinal aging process. Objective: The present work aimed to examine the protective effect of wheat oligopeptides (WP) on intestine mucosal impairment in aged mice, and investigate the potential antioxidation, anti-inflammatory effects of WP. Design: Seventy-two aged mice (24 months old) were randomly divided into six groups, 12 for each group. Twelve young mice (6 months old) were regarded as the young control group. WP (25, 50, 100, 200, or 400 mg/kg) or distilled water were administered daily by gavage for 30 days. Results: Histological observations showed that intestinal mucosal degeneration was attenuated by WP pretreatment. WP exhibited remarkable antioxidant activity via increasing superoxide dismutase, glutathione peroxidase, total antioxidant capacity and catalase activities, and decreasing the malondialdehyde levels in small intestine mucosa. WP pretreatment significantly suppressed intestinal mucosa inflammation through the reduction of TNF-α, TGF-β, IFN-γ IL-1β and IL-6. WP markedly protect the intestinal mucosal barrier by decreasing the ICAM-1 level, and increasing ZO-1 and JAMA-A levels. WP significantly down-regulated protein expression levels of TLR4, Myd88, and MAPK, suggesting that WP have a potential effect on inhibiting aging-induced inflammatory responses by blocking TLR4/Myd88/MAPK signal transduction. Conclusion: WP administration effectively alleviated intestinal mucosal impairment in aged mice. The potential mechanism was associated with enhancement of antioxidation and anti-inflammatory action and protection of the intestinal mucosal barrier.

Résumé Contexte Lacryoconservation des spermatozoïdes, méthode efficace pour préserver lafertilité masculine, est très avantageuse pour les hommes atteints de cancer.Malheureusement, comme les médecins et les patients atteints de cancersignorent les possibilités de cryoconservation du sperme, les données surl’évaluation des paramètres spermatiques et le devenir des échantillonscryopréservés parmi les hommes chinois atteints de cancers sont rares. Résultats Lestumeurs masculines ont été classées en six types principaux, tumeurs germinales(26%), néoplasmes hématologiques (28%), cancers de la tête et du cou (19%),tumeurs thoraciques (4%), les tumeurs abdominales (10%), et les autres (13%).Les néoplasmes hématologiques étaient le cancer le plus répandu parmi notrecohorte de patients qui ont opté pour la mise en banque de leur sperme, suivisdes tumeurs à cellules germinales. Les patients atteints de tumeurs germinalesprésentaient les concentrations de spermatozoïdes pré-congélation etpost-décongélation les plus faibles. Nous avons comparé séparément les patientsatteints de tumeurs testiculaires, de lymphome, et de leucémie, et avonsconstaté que ceux atteins de leucémie présentaient les plus bassesconcentrations de spermatozoïdes pré-congélation. Une majorité de patientsatteints de cancer (58 %) ont choisi de conserver en banque leurs échantillonscongelés, tandis que 31 % ont choisi de jeter leurs échantillons congelés. Aufil des ans, seuls 13 patients (4%) sont revenus pour utiliser leurs spermatozoïdespar Assistance Médicale à la Procréation. Parmi les échantillons mis en banque,ceux des patients atteints de tumeurs germinales constituaient la proportion laplus élevée (29,3 %). Par ailleurs, les patients atteins de cancershématologiques constituaient le pourcentage le plus élevé (46.2%) de patientsqui n’avaient eu aucun spermatozoïde congelé. Conclusions Lesdonnées rapportées confirment l’impact délétère des divers cancers sur laqualité du sperme. Les leucémies étaientassociées à la pire qualité du sperme et au plus grand nombre d’échantillons desperme qui ne pouvaient pas être congelés. Nous pensons que la qualité desperme pourrait avoir diminué avant même le traitement antinéoplasique, et quela mise en banque de sperme avant le traitement devrait être fortementrecommandée pour les patients atteints de cancers. Un programme de mise enbanque du sperme avant traitement gonadotoxique nécessite une étroitecoopération entre les centres d’Assistance Médicale à la Procréation et les cliniquesde cancérologie.

Identification of the evolution history and genetic diversity of a species is important in the utilization of novel genetic variation in this species, as well as for its conservation. Pistacia chinensis is an important biodiesel tree crop in China, due to the high oil content of its fruit. The aim of this study was to uncover the genetic structure of P. chinensis and to investigate the influence of intraspecific gene flow on the process of domestication and the diversification of varieties. We investigated the genetic structure of P. chinensis, as well as evolution and introgression in the subpopulations, through analysis of the plastid and nuclear genomes of 39 P. chinensis individuals from across China. High levels of variation were detected in the P. chinensis plastome, and 460 intraspecific polymorphic sites, 104 indels and three small inversions were identified. Phylogenetic analysis and population structure using the plastome dataset supported five clades of P. chinensis. Population structure analysis based on the nuclear SNPs showed two groups, clearly clustered together, and more than a third of the total individuals were classified as hybrids. Discordance between the plastid and nuclear genomes suggested that hybridization events may have occurred between highly divergent samples in the P. chinensis subclades. Most of the species in the P. chinensis subclade diverged between the late Miocene and the mid-Pliocene. The processes of domestication and cultivation have decreased the genetic diversity of P. chinensis. The extensive variability and structuring of the P. chinensis plastid together with the nuclear genomic variation detected in this study suggests that much unexploited genetic diversity is available for improvement in this recently domesticated species.

Quercus variabilis (Fagaceae) is an ecologically and economically important deciduous broadleaved tree species native to and widespread in East Asia. It is a valuable woody species and an indicator of local forest health, and occupies a dominant position in forest ecosystems in East Asia. However, genomic resources from Q. variabilis are still lacking. Here, we present a high-quality Q. variabilis genome generated by PacBio HiFi and Hi-C sequencing. The assembled genome size is 787 Mb, with a contig N50 of 26.04 Mb and scaffold N50 of 64.86 Mb, comprising 12 pseudo-chromosomes. The repetitive sequences constitute 67.6% of the genome, of which the majority are long terminal repeats, accounting for 46.62% of the genome. We used ab initio, RNA sequence-based and homology-based predictions to identify protein-coding genes. A total of 32,466 protein-coding genes were identified, of which 95.11% could be functionally annotated. Evolutionary analysis showed that Q. variabilis was more closely related to Q. suber than to Q. lobata or Q. robur. We found no evidence for species-specific whole genome duplications in Quercus after the species had diverged. This study provides the first genome assembly and the first gene annotation data for Q. variabilis. These resources will inform the design of further breeding strategies, and will be valuable in the study of genome editing and comparative genomics in oak species.

In the process of operation, integrated energy systems encounter a series of complex optimization problems such as complex conversion of multiple types of energy, coupling of multiple types of equipment, and uneven distribution of multiple demands. In recent years and in the process of achieving the goal of "double carbon" in China, more and more problems of optimal scheduling of biomass integrated energy systems have become hot topics of research. In this paper, we propose an artificial bee colony algorithmbased operation and scheduling method for a biomass fuel cell (SOFC) cooling, heating, and power triplesupply system with the objective function of maximizing the economic profit of the integrated energy system (including fuel, operation, and maintenance costs), and the constraints of energy conservation, system safety, and operation state. The equipment included are biomass boiler and corresponding steam turbine, biogas digester, SOFC, gas storage tank, etc. The results of the algorithm include the economic benefits of using the artificial bee colony algorithm for the same load scenario. The operational scheduling results show that the artificial bee colony algorithm is able to maximize the profitability of the integrated energy system while reducing carbon emissions.

Software trustworthiness evaluation is regarded as a multi-criteria decision-making problem. However, most current software trustworthiness evaluation methods do not consider the relationships between criteria. In this paper, we present a software trustworthiness evaluation strategy via the relationships between criteria. Because the trustworthy attribute degree is evaluated by a criterion, a trustworthy attribute measurement method based on fuzzy theory is first proposed, and the relationships between criteria are described by cooperative and conflicting degrees between criteria. Then, a measure formula for the symmetric substitutivity between criteria is proposed, and the cooperative degree between criteria is taken as the approximation of the symmetric substitutivity between criteria. With the help of the symmetric substitutivity between criteria, the software trustworthiness measurement model obtained by axiomatic approaches is applied to aggregate the degree to which each optional software product meets each objective. Finally, the candidate software products are sorted according to the trustworthiness aggregation results, and the optimal product is obtained from the alternative software products on the basis of the sorting results. The theoretical rationality of the measurement model is validated by proving that it satisfies the desirable properties of software trustworthiness measures, and its effectiveness is demonstrated through a case study.

Preservation of human spermatozoa in vitro at normothermia or hypothermia maintaining their functions and fertility for several days plays a significant role in reproductive biology and medicine. However, it is well known that human spermatozoa left in vitro deteriorate over time irreversibly as the consequence of various stresses such as the change of osmolarity, energy deficiency, and oxidative damage, leading to substantial limitations including the need for semen examinations, fertility preservation, and assisted reproductive technology. These problems may be addressed with the aid of non-freezing storage techniques. The main and most effective preservation strategies are the partial or total replacement of seminal plasma with culture medium, named as extenders, and temperature-induced metabolic restriction. Semen extenders consist of buffers, osmolytes, and antioxidants, etc. to protect spermatozoa against the above-mentioned adverse factors. Extended preservation of human spermatozoa in vitro has a negative effect on sperm parameters, whereas its effect on ART outcomes remains inconsistent. The storage duration, temperature, and pre-treatment of semen should be determined according to the aims of preservation. Advanced techniques such as nanotechnology and omics have been introduced and show great potential in the lifespan extension of human sperm. It is certain that more patients will benefit from it in the near future. This review provided an overview of the current knowledge and prospects of prolonged non-freezing storage of human sperm in vitro.

The interplay of topology, magnetism, and correlations gives rise to intriguing phases of matter. In this study, through state-of-the-art angle-resolved photoemission spectroscopy, density functional theory, and dynamical mean-field theory calculations, we visualize a fourfold degenerate Dirac nodal line at the boundary of the bulk Brillouin zone in the antiferromagnet YMn2Ge2. We further demonstrate that this gapless, antiferromagnetic Dirac nodal line is enforced by the combination of magnetism, space-time inversion symmetry, and nonsymmorphic lattice symmetry. The corresponding drumhead surface states traverse the whole surface Brillouin zone. YMn2Ge2 thus serves as a platform to exhibit the interplay of multiple degenerate nodal physics and antiferromagnetism. Interestingly, the magnetic nodal line displays a d-orbital dependent renormalization along its trajectory in momentum space, thereby manifesting Hund's coupling. Our findings offer insights into the effect of electronic correlations on magnetic Dirac nodal lines, leading to an antiferromagnetic Hund nodal line.

BACKGROUND Micro-distillation is an important chemical pretreatment technology for the enrichment and purification of Os. It is particularly important to improve Os recovery by optimizing the micro-distillation experimental conditions to ensure the accurate measurement of Os by NTIMS. The micro-distillation temperature, absorbing solution volume, and reaction time have significant influence on the recovery of Os. However, the optimum experimental conditions for micro-distillation are not clear, thus resulting in unstable Os recovery, affecting NTIMS measurement accuracy, and easily resulting in increased Re-Os dating error. OBJECTIVES To evaluate the influence of different experimental conditions on the yield of Os during the micro-distillation for improving the recovery of Os, ensuring the intensity and stability of the Os measurement signal by NTIMS. METHODS A self-made Os-containing solution was chosen as the research object and ICP-MS was used as the measurement method. The element Ir was used as the internal standard to monitor the Os signal, and the Os recovery was calculated by the sample signal count. RESULTS The results show that the maximum recovery of Os was obtained when the HBr solution was evaporated at 120℃ for 15 min, the micro-distillation temperature was 80℃, the HBr absorption solution was 15 μL, and the micro-distillation reaction time was 2 h. The Os recoveries were 80%-90% under the optimum experimental condition. CONCLUSIONS Os recovery under the optimum micro-distillation experimental conditions satisfies the measurement requirements of NTIMS, especially for pg level geological samples. It also increases the Os signal intensity and improves the efficiency of experiments.

Room Temperature vibration fatigue S-N curves of single crystal superalloy DD6 with[001] orientation was investigated and room temperature vibration fatigue limit was obtained. The fracture mechanism was studied by OM, SEM and EBSD. The results show that based on S-N method, vibration fatigue limit of DD6 single crystal superalloy with[001] orientation is estimated to be around 337.5MPa. Vibration fatigue fracture presents single or several {111} octahedral slip planes. SEM observations show that fracture has two regions:fatigue source region and the fatigue crack propagation regions, the fatigue cracks initiate at the surface or internal defect of the cross-section with the maximum stress, and exhibits a single source feature, fatigue crack propagation region exhibits quasi-cleavage fracture, no typical fatigue striation feature. Crystal plane slip along {111} is the main deformation mechanism of RT vibration fatigue fracture of single crystal superalloy DD6, quasi-cleavage propagation plane in fracture and quasi-cleavage patterns in microstructure are the main features of RT vibration fatigue fracture of single crystal superalloy DD6.

The complete chloroplast genome of Hovenia dulcis was sequenced with Illumina HiSeq 2000 platform. It was a typical quadruple structure as other plants of Hovenia with 162,962 bp in length, including a large single-copy (LSC: 90,900 bp) region and a small single-copy (SSC: 18,920 bp) which were separated by a pair of inverted repeats (IRa, b: 26,571 bp) region. The overall GC content is 36.6%. A total of 130 genes was annotated which contained 85 protein-coding genes including the Trans splicing gene of rps12, 37 tRNA genes, and 8 rRNA genes. ML phylogenetic analysis compared with 6 expressed chloroplast genomes of Rhamnaceae revealed that H. dulcis was closely related to the species of Zizyphus, and which were clustered into a group with Z. jujuba, Z. mauritiana and Z. spina-christi. Hovenia dulcis was relatively distant to other species of Berchemiella and Rhamnus, which were clustered into another group.

C20H26N4O4, monoclinic, P21/a (no. 14), a = 12.107(3) Å, b = 7.8431(19) Å, c = 21.794(5) Å, β = 98.233(5)°, V = 2048.1(8) Å3, Z = 4, Rgt(F) = 0.0458, wRref(F2) = 0.1208, T = 293(2) K.

C21H28N4O4, triclinic, P1̄ (no. 2), a = 6.5543(12) Å, b = 11.875(2) Å, c = 14.386(3) Å, α = 71.803(3)°, β = 81.663(3)°, γ = 89.928(3)°, V = 1051.3(3) Å3, Z = 2, Rgt(F) = 0.0548, wRref(F2) = 0.1762, T = 273(2) K.