Specific Steps Research Articles

Modern approaches to morphofunctional dynamics of spermatogenesis process

This paper summarises modern approaches to the morphofunctional dynamics of spermatogenesis as a complex dynamic process with well-organised cellular and molecular events, which includes three specific basic functional steps - spermatocytogenesis (mitosis), meiosis and spermiogenesis (differentiation with no cell division), and leads to sperm production. The first stage involves the differentiation of spermatogonia (small diploid germ cells) by mitotic division into primary spermatocytes. The second stage requires meiosis, in which diploid cells - spermatocytes form round haploid spermatids. The final stage of spermatogenesis involves the production of mature, motile spermatozoa from round spermatids in a process called spermiogenesis. At any of these stages, functional disorders can occur, which can lead to disruption of the whole process and infertility. To date, a comprehensive understanding of the cell biology and genetics of spermatogenesis is difficult as it takes place in a complex testicular environment, characterised by a close association of developing spermatozoa with additional cells. Therefore, it is necessary to intensify the study of the mechanisms of the morphofunctional dynamics of spermatogenesis and its regulation in general and at different stages.

A Preliminary Study on Warm Acupuncture and Moxibustion for Treating Chronic Obstructive Pulmonary Disease with Abdominal Distension.

Most patients with COPD have a combination of abdominal distension, which has been shown to adversely affect pulmonary symptoms, frequency of acute exacerbations, and quality of life in patients with COPD. Warm acupuncture and moxibustion have been shown to be effective in relieving symptoms in patients with COPD combined with abdominal distention. Warm acupuncture and moxibustion are highly effective, easy to perform, and inexpensive forms of traditional Chinese medicine treatments. The standardized practice of warm acupuncture and moxibustion is very important for the treatment of COPD combined with abdominal distension. The specific steps include selecting the appropriate acupoints for needling through syndrome differentiation treatment and selecting moxa sticks of appropriate length for moxibustion for about 30 min after the De-qi. The course of treatment lasts for one week. The following indicators are specifically assessed: the score of the COPD Assessment Test (CAT) and the abdominal distension visual analog scale (VAS). This article will clearly illustrate how to standardize the manipulation of warm acupuncture and moxibustion to relieve COPD combined with abdominal distention.

New Equations for Rate of Energy Dissipation of a Stepped Spillway with Slope less than Critical and Specific Step Height

Stepped spillways disperse energy in floodwater by utilizing their stepping nature. Several researchers investigated the hydraulic and geometric relationships of the stepped spillway with a dam slope above 26.6o, which resulted in energy dissipation. But a few studied stepped spillways with a dam slope of 26.6o with a step height of 0.61 m. This move led to a lack of knowledge and rules for the designers of stepped spillways with slope of 26.6o and a step height of 0.61 m. The authors reviewed the researchers' publications on horizontal stepped spillways with dam slopes of 26.6o with step height of 0.61 m conducted in transition and skimming flows in large-size facilities with phase-detection intrusive probes. They retrieved data sets from them, which they took into account to create two novel equations for energy dissipation in stepped spillways: one for nappe flow and one for skimming flow. The results showed that the measured data sets compared well with the data sets calculated from the two empirical models.

Whole genome CRISPR screening strategy to identify genes contributing to SARS-CoV-2 spike and VSV-G mediated entry.

Understanding the cellular host factors that promote and inhibit viral entry is important for identifying viral countermeasures. CRISPR whole-genome screens can be used to rapidly discover host factors that contribute to or impair viral entry. However, when using live viruses and cellular lethality for selection, these screens can identify an overwhelming number of genes without specificity for the stage of the viral infection cycle. New screening methods are needed to identify host machinery contributing to specific steps of viral infection. Here, we developed a CRISPR whole-genome screen and counter-screen strategy based on a pseudoviral platform that allowed identification of genes specific to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike and vesicular stomatitis virus glycoprotein (VSV-G) mediated entry.Screening of SARS-CoV-2 spike and VSV-G on the same lentiviral pseudovirus allowed the identification of entry-specific genes relative to genes associated with retro-transcription, integration, and reporter expression from the lentiviral pseudovirus. Second, a Cre-Gag fusion protein packaged into the pseudovirus was used to bypass retro-transcription and integration by directly activating a floxed fluorescent protein reporter upon entry reduced the number of gene hits and increase specificity for viral entry.Our approach correctly identified SARS-CoV-2 and VSV-G receptors ACE2 and low-density lipoprotein receptors, respectively, and distinguished genes associated with retroviral reporter expression from envelope-mediated entry. Moreover, the CRE-Gag fusion/flox reporter increased the screen specificity for viral entry-associated genes. Validation of a few hits demonstrates that this approach distinguishes envelope-specific host factors from genes affecting reporter expression.Overall, this approach provides a new strategy for identifying host genes influencing viral entry without the confounding complexity of live-viral screens which produce long gene lists associated with all aspects of viral pathogenesis and replication.

Unbalanced redox status network as an early pathological event in congenital cataracts

The lens proteome undergoes dramatic composition changes during development and maturation. A defective developmental process leads to congenital cataracts that account for about 30% of cases of childhood blindness. Gene mutations are associated with approximately 50% of early-onset forms of lens opacity, with the remainder being of unknown etiology. To gain a better understanding of cataractogenesis, we utilized a transgenic mouse model expressing a mutant ubiquitin protein in the lens (K6W-Ub) that recapitulates most of the early pathological changes seen in human congenital cataracts. We performed mass spectrometry-based tandem-mass-tag quantitative proteomics in E15, P1, and P30 control or K6W-Ub lenses. Our analysis identified targets that are required for early normal differentiation steps and altered in cataractous lenses, particularly metabolic pathways involving glutathione and amino acids. Computational molecular phenotyping revealed that glutathione and taurine were spatially altered in the K6W-Ub cataractous lens. High-performance liquid chromatography revealed that both taurine and the ratio of reduced glutathione to oxidized glutathione, two indicators of redox status, were differentially compromised in lens biology. In sum, our research documents that dynamic proteome changes in a mouse model of congenital cataracts impact redox biology in lens. Our findings shed light on the molecular mechanisms associated with congenital cataracts and point out that unbalanced redox status due to reduced levels of taurine and glutathione, metabolites already linked to age-related cataract, could be a major underlying mechanism behind lens opacities that appear early in life.

The Relationships of Leaders’ Narcissistic Admiration and Rivalry with Nurses’ Organizational Citizenship Behavior towards Leaders: A Cross-Sectional Survey

Aim. The aim of this study is to investigate the unique contributions of two distinct dimensions of leaders’ narcissism—admiration and rivalry—to nurses’ organizational citizenship behavior towards the leader and the mediating role of nurses’ challenge appraisal and hindrance appraisal based on the transactional stress theory. Background. Leaders’ narcissism is widespread in hospitals, so whether nurses will show organizational citizenship behavior to narcissistic leaders is related to the harmony and stability of the team. Thus, clarifying the positive or negative relationship between leaders’ narcissism and nurses’ organizational citizenship behavior towards leaders has become a priority. Methods. A cross-sectional survey was conducted at two-time points with 280 Chinese nurses. We used the structural equation model to analyze our data. Results. We found that leaders’ narcissistic admiration was positively correlated with nurses’ organizational citizenship behavior towards the leader; however, leaders’ narcissistic rivalry was negatively correlated with nurses’ organizational citizenship behavior towards the leader. Furthermore, mediation analyses revealed that leaders’ narcissistic admiration had a significant indirect effect on nurses’ organizational citizenship behavior towards leaders via challenge appraisal, and leaders’ narcissistic rivalry had a significant indirect effect on nurses’ organizational citizenship behavior towards leaders via hindrance appraisal. Conclusion. By introducing two dimensions of narcissistic admiration and rivalry, we resolve previous contradictory findings about the relationship between leader narcissism and organizational citizenship behavior towards the leader. Implications for Nursing Management. Nursing managers need to understand that there are both positive and negative relationships between leaders’ narcissism and nurses’ organizational citizenship behavior towards the leader, and we can promote the positive effects of leaders’ narcissistic admiration and curb the negative consequences of leaders’ narcissistic rivalry by taking some specific steps, such as promoting the loving cooperative atmosphere and punishing disruptive behaviors.

Between-day reliability of inertial measurement unit parameters during soccer-specific change of direction test

This study assessed the between-day reliability of change of direction (COD) biomechanics and speed in youth soccer players using inertial measurement units (IMUs) and high-speed video. A soccer-specific COD test including a 180° pivot turn was performed in both directions by 15 elite female (age: 15.3 ± 0.6 years; height 162.6 ± 5.5 cm; body mass: 56.7 ± 7.1 kg) and 22 elite male (age: 15.4 ± 0.5 years; height 169 ± 5.9 cm; body mass: 58.5 ± 8.5 kg) youth soccer players in two consecutive days. The reliability of the variables was quantified by using intra-class correlation coefficient (ICC) analysis with limits of agreement (LoA) and Bland–Altman plots. Based on the results, neither peak resultant acceleration (PRA) nor peak angular velocity (PAV) during final foot contact was sufficiently reliable for 180° pivot turn biomechanics (poor reliability, < 0.5), but the reliability of players’ running time to turn and total time was between acceptable to good (0.9>; > 0.7). However, when analyzing females and males separately, the PRA and angular velocity ICC's for females had poor to acceptable reliability, when turning left, and were statistically different from males ( Z-score > 1.96). Acceptable to good reliability with reasonable (max 15% difference) LoA implies that speed measures in different phases of COD could reliably reproduce individual differences in 180° pivot turn COD speed. Sex-related differences in repeatability of acceleration and angular velocity call for more comprehensive research in the future. PAV and PRA would not be recommended for the purpose of analyzing individual repeatability of specific steps of COD movement.

Recovering from mistakes

We all make mistakes. The key is to learn from them and use the experience to make a better plan for future action. This presentation is about managing oneself through making a sig­nificant mistake to recovering one’s self-confidence and the confidence of others. Participants will gain insights into men­tal processes that affect behavior and specific action steps that help to get back on track.

Enhancement of Transient Current in MIS(p) Tunneling Diode with Reduced Reversed Bias Current by Oxide Removal at the Gate Edge

Transient behavior plays a critical role in electronic devices since it represents the potential to serve as memory applications. Recently, some transient current behavior of metal-insulator-semiconductor tunnel diode (MISTD) has been demonstrated with unconventional structures [1], [2]. However, due to the usage of multiple photomasks and the process complexity at the gate edge, these devices may have scale-down issues in advanced CMOS-compatible processes. In this work, a structure of edge-removed (ER) MISTD has been proposed. Compared to previous work [2], which removes surrounding oxide and Si substrate by trench forming, the ER MISTD improves the device performance by not damaging the Si substrate. The ER MISTD can remain the same transient current window (CW) while being operated at smaller write voltage and device area. With the advantages of a smaller device area, energy-efficient operations, and the simplicity of the fabrication process, the ER MISTD is promising to serve as dynamic memory applications.The schematics of the conventional co-planar and ER MISTD are shown in Fig. 1. With the removal of the surrounding gate oxide, ER MISTD demonstrates not only lower reverse bias current but also hysteresis displacement current in Fig. 2(a) compared to planar MISTD. The leakage current of ER MISTD is 3 orders of magnitude smaller than that of planar MISTD at VG = 2V. Fig. 2(b) shows the high-frequency capacitance-voltage measurement, which demonstrates enlarged deep depletion region of the ER MISTD. We further investigated the phenomenon by Sentaurus TCAD as shown in Fig. 3. The existence of oxide charges was also adopted in simulation. The deeper depletion phenomenon of ER MISTD can be attributed to the lack of minority carriers and oxide charges without the existence of surrounding gate oxide. Another evidence of the lack of minority carriers is shown in Fig. 4. The saturation current of ER MISTD remains lower while that of planar MISTD increases and eventually induces oxide breakdown around VG = 5V. It is also found that ER MISTD isn't in oxide breakdown when VG is over 40 V as shown in the inset of Fig. 4.Next, the enhanced two-state transient current behavior has been demonstrated in Fig. 5. The specific measurement steps are shown in the inset of Fig. 5(a) and 5(b). ER MISTD has better CW in both operations compared to planar MISTD. We further investigated the mechanism of the two operations.When VG is switched from 1V to 0V, the minority carriers (𝑄𝑖𝑛𝑣) would become excess carriers since no enough time for them to be recombined. Because ER MISTD has an insufficient supply of minority carriers due to the absence of gate edge fringing field, the electron tunnel current generated by excess carriers is smaller compared to planar MISTD. With a smaller electron tunnel current to compensate for the transient discharging current, the total transient read current of ER MISTD is larger than that of planar MISTD.When VG is switched from -0.5V to 0V, the depletion region is suddenly expanded and therefore generates extra displacement current. Since the change of depletion width of ER MISTD is larger, the positive displacement current is larger as well. Because the transient current is the summation of the positive discharging current and displacement current, the transient current of ER MISTD is larger.The endurance measurement of ER MISTD has been examined as shown in Fig. 6. Fig. 6(a) shows the endurance can be tested up to 5000 cycles between 1V and 0V without much degradation. Fig. 6(b) shows the endurance between 1V and -0.5V with 102 cycles.We further investigated the CW of two operations corresponding to oxide thickness. As shown in Fig. 7, when oxide becomes thicker, the transient behavior becomes larger due to the decrease of the tunneling probability. However, the CW would eventually decay when the oxide is too thick. This is because tunnel current will disappear at thicker oxide, the transient behavior is therefore reduced. The peak value of the CW is around EOT = 3.1 nm.In conclusion, ER MISTD shows enhanced transient current and reduced leakage current due to the enlarged deep depletion. We also proposed two-state memory operations and endurance measurement of ER MISTD. The correspondence of CW and oxide thickness has been investigated as well. Because of the above characteristics, ER MISTD shows its potential to serve as a dynamic memory application.Reference:[1] Huang S -W and Hwu J -G 2021 IEEE Trans. Electron Devices 68 6580-6585[2] Lin J -Y and Hwu J -G 2021 IEEE Trans. on Electron Devices 68 4189-4194 Figure 1

Assessment of the impact of COVID-19 lockdown measures on electricity consumption – Evidence from Portugal and Spain

The COVID-19 pandemic caused unheard-of shifts in socioeconomic norms and interpersonal connections. Governments were compelled to place limitations on the way of life of residents and companies in order to stem the virus' spread in order to deal with this new threat. These led to stay-at-home orders in many nations and reduced industry activities to their bare minimum, which had an immediate impact on the electricity systems.This article investigates the influence of COVID-19 on electricity consumption in Portugal and Spain, with the goal of shedding light on consumption shifts and how these are related to the stringency degree of government-imposed measures, as well as providing an overview of the first post-pandemic data. We cross information between observed electricity consumption data and numerous factors, including the Stringency Index (SI) given by the Oxford COVID-19 Government Response Tracker (OxCGRT), using an econometric model. We also investigate how government-issued alert levels influenced electricity use.We concluded that, although Spain only felt the repercussions in 2020, Portugal saw a negative and considerable impact from restriction measures and lockdowns in 2020 and 2021. The decision to close schools was found to be the specific step that significantly reduced electricity consumption in both countries.

Novel Compounds Derived from DFPM Induce Root Growth Arrest through the Specific VICTR Alleles of Arabidopsis Accessions.

The small compound [5-(3,4-dichlorophenyl) furan-2-yl]-piperidine-1-ylmethanethione (DFPM) inhibits ABA responses by activating effector-triggered immune signal transduction in Arabidopsis. In addition to the known function of DFPM as an antagonist of ABA signaling, DFPM causes accession-specific root growth arrest in Arabidopsis Columbia-0 via the TIR-NLR protein VICTR (VARIATION IN COMPOUND TRIGGERED ROOT growth response) in an EDS1/PAD4/RAR1/SGT1B-dependent manner. Although DFPM could control the specific steps of various cellular responses, the functional residues for the activity of DFPM or the existence of a stronger version of DFPM modification have not been characterized thoroughly. This study analyzed twenty-two DFPM derivatives during root growth arrest, inhibition of ABA signaling, and induction of biotic signal transduction to determine critical residues that confer the specific activity of DFPM. Furthermore, this study identified two more Arabidopsis accessions that generate significant root growth arrest in response to DFPM derivatives dependent on multiple amino acid polymorphisms in the coding region of VICTR. The isolation of novel compounds, such as DFPM-5, and specific amino acid polymorphisms critical for the compound-induced responses will help determine the detailed regulatory mechanism for how DFPM regulates abiotic and biotic stress signaling interactions.

Evaluation of lncRNA Expression During the Differentiation of Mesenchymal Stem Cells to Insulin-Secreting Progenitors.

Diabetes mellitus is a metabolic disease caused by a defect in insulin secretion, insulin function, or both that destroys pancreatic islet beta cells. There is ample evidence that long non-coding RNAs (lncRNAs) play a vital role in cell formation and differentiation. The present study aims to investigate the expression pattern of specific lncRNAs in mesenchymal stem cell (MSC) differentiation into insulin-producing beta cell (IPCs) progenitors for cell therapy purposes. MSCs were extracted from human umbilical cord Wharton jelly (hWJ-MSCs) using the explant method and cultured in two-dimensional (2D) and three-dimensional (3D) media on polylactic acid/Wax (PLA/Wax) nanofibrous scaffold using a three-step protocol containing CHIR99021 small molecules and Indolactam V. At the end of each differentiation step, immunocytochemistry and qRT-PCR were used to confirm the differentiation at the protein and RNA levels and the expression changes of six selective lncRNAs were evaluated by qRT-PCR. The results indicated that the expression of the selected lncRNAs was significantly altered during the differentiation process into beta progenitor cells, indicating their potential role in regulating the IPC differentiation process. More specifically, all of the desired lncRNAs demonstrated a significant increase during the beta cell differentiation, with HI-LNC71 and HI-LNA12 experiencing the highest expression in the produced Beta cell progenitors respectively (p<0.0001). These results can be valuable in tissue engineering and treatment studies by replacing beta precursor cells to control diabetic patients.

A survey and evaluation of iterative optimization algorithms for cooperative localization

Cooperative localization (Co-localization) refers to the establishment of an objective function through relative measurements and obtaining the relative position information by solving the objective function, and is a typical optimization problem. The current research of cooperative localization is mainly the innovative application of specific algorithms in specific problems. It lacks the summary of typical optimization strategies, the comparative analysis of coordinate transformation strategies, and the evaluation criteria of positioning performance. This paper summarizes the design ideas, applicable conditions and detailed procedures of typical algorithms in the cooperative localization problem, and compares the accuracy, convergence speed and computational complexity of different algorithms through simulation experiments; summarizes two methods of coordinate transformation, and analyzes the performance of these methods through simulation experiments; summarizes Cramer–Rao lower bound (CRLB) of co-localization problem under the condition that relative measurement is unbiased estimation, and gives the specific steps to calculate CRLB under different spatial dimensions.

Application of nonlinear regression theory based on edge computing to mathematical modeling in universities

Abstract Mathematical modeling is the link between mathematics and practical problems and is the medium through which mathematics is widely used in related fields. This paper introduces the definitions of mathematical models in different disciplines and for different practical problems and gives the specific steps of mathematical modeling and the key problems to be solved in each step, the most important of which is nonlinear regression theory. The parameter estimation of the error variance of the nonlinear regression model is performed by the least squares method, and for the problem of poor numerical stability and computational complexity due to the pathological matrix in solving the least squares method, the least squares method is proposed based on adding the edge computing framework. The results show that the system efficiency of the nonlinear regression model based on edge computing is 92%, and the resource utilization is between 80% and 90% on average, which is higher than the two algorithms of RPP and RPA. The nonlinear regression model based on edge computing proposed in this paper organically combines mathematical modeling, which can make mathematical modeling play a greater role in the practical application process and solve more practical problems.

Total-Body Multiparametric PET Quantification of 18F-FDG Delivery and Metabolism in the Study of Coronavirus Disease 2019 Recovery.

Conventional whole-body static 18F-FDG PET imaging provides a semiquantitative evaluation of overall glucose metabolism without insight into the specific transport and metabolic steps. Here we demonstrate the ability of total-body multiparametric 18F-FDG PET to quantitatively evaluate glucose metabolism using macroparametric quantification and assess specific glucose delivery and phosphorylation processes using microparametric quantification for studying recovery from coronavirus disease 2019 (COVID-19). Methods: The study included 13 healthy subjects and 12 recovering COVID-19 subjects within 8 wk of confirmed diagnosis. Each subject had a 1-h dynamic 18F-FDG scan on the uEXPLORER total-body PET/CT system. Semiquantitative SUV and the SUV ratio relative to blood (SUVR) were calculated for different organs to measure glucose utilization. Tracer kinetic modeling was performed to quantify the microparametric blood-to-tissue 18F-FDG delivery rate [Formula: see text] and the phosphorylation rate k 3, as well as the macroparametric 18F-FDG net influx rate ([Formula: see text]). Statistical tests were performed to examine differences between healthy subjects and recovering COVID-19 subjects. The effect of COVID-19 vaccination was also investigated. Results: We detected no significant difference in lung SUV but significantly higher lung SUVR and [Formula: see text] in COVID-19 recovery, indicating improved sensitivity of kinetic quantification for detecting the difference in glucose metabolism. A significant difference was also observed in the lungs with the phosphorylation rate k 3 but not with [Formula: see text], which suggests that glucose phosphorylation, rather than glucose delivery, drives the observed difference of glucose metabolism. Meanwhile, there was no or little difference in bone marrow 18F-FDG metabolism measured with SUV, SUVR, and [Formula: see text] but a significantly higher bone marrow [Formula: see text] in the COVID-19 group, suggesting a difference in glucose delivery. Vaccinated COVID-19 subjects had a lower lung [Formula: see text] and a higher spleen [Formula: see text] than unvaccinated COVID-19 subjects. Conclusion: Higher lung glucose metabolism and bone marrow glucose delivery were observed with total-body multiparametric 18F-FDG PET in recovering COVID-19 subjects than in healthy subjects, implying continued inflammation during recovery. Vaccination demonstrated potential protection effects. Total-body multiparametric PET of 18F-FDG can provide a more sensitive tool and more insights than conventional whole-body static 18F-FDG imaging to evaluate metabolic changes in systemic diseases such as COVID-19.

In Memory of Ken Mellor

This article is dedicated to the memory of Ken Mellor, a teacher and a supervisor of Transactional Analysis in psychotherapy, who passed away in July 2023 in Australia. Ken Mellor made a great contribution to the development of Transactional Analysis and to the emergence and development of a new field Spiritual Transactional Analysis. He published many of his papers in professional journals including the Transactional Analysis Journal of the International Transactional Analysis Association (ITAA). This article focuses on his contributions to the expansion and development of Transactional Analysis and on the connection that he saw between the foundations of Transactional Analysis theory and spirituality. It describes his ideas and additions to Eric Bernes ideas on autonomy. In one of his articles published in the Transactional Analysis Journal (TAJ), Ken draws on his spiritual experiences and practices to suggest specific steps that can be taken to arrive at autonomy. To the well-known components described by Eric Berne awareness, spontaneity, and readiness for intimacy Ken added another important component that Eric Berne had not written about.

Image Encryption Algorithm Combining Chaotic Image Encryption and Convolutional Neural Network

With the rapid development of information technology, the security of images has emerged as a significant area of research. This study presents an algorithm that integrates chaotic image encryption and a convolutional neural network (CNN) to enhance security and efficiency. The algorithm applies the properties of randomness and nonlinear mapping of chaotic sequences with the advanced feature extraction capabilities of a CNN model to achieve robust image encryption. First, we outline the fundamentals of chaotic image encryption and CNN. Chaotic image encryption employs chaotic sequence generation and nonlinear mapping to scramble pixel values for encryption purposes, while a CNN, as a deep-learning model with a local perceptual field and weight sharing, effectively extracts high-level image features. Subsequently, we provide a detailed description of the specific steps involved in combining chaotic image encryption and the CNN. These steps include chaotic sequence generation, pixel value mapping, feature extraction, and key management. The algorithm achieves high-strength encryption by performing dissimilarity operations between the chaotic sequence and image pixel values, as well as extracting high-level image features using the CNN. Finally, we conduct experimental evaluations of the algorithm and compare it with traditional chaotic image encryption methods. The experimental results demonstrate that the image encryption algorithm exhibits significant improvements in encryption quality and security while offering advantages in computational performance and encryption/decryption speed.

Implementing text-messaging to support and enhance delivery of health behavior change interventions in low- to middle-income countries: case study of the Lifestyle Africa intervention

The prevalence of non-communicable diseases, such as diabetes and cardiovascular disease, is rising in low- and middle-income countries (LMICs). Health behavior change (HBC) interventions such as the widely used Diabetes Prevention Program (DPP) are effective at reducing chronic disease risk, but have not been adapted for LMICs. Leveraging mobile health (mHealth) technology such as text messaging (SMS) to enhance reach and participant engagement with these interventions has great promise, yet we lack evidence-informed approaches to guide the integration of SMS specifically to support HBC interventions in LMIC contexts. To address this gap, we integrated guidance from the mHealth literature with expertise and first-hand experience to establish specific development steps for building and implementing SMS systems to support HBC programming in LMICs. Specifically, we provide real-world examples of each development step by describing our experience in designing and delivering an SMS system to support a culturally-adapted DPP designed for delivery in South Africa. We outline eight key SMS development steps, including: 1) determining if SMS is appropriate; 2) developing system architecture and programming; 3) developing theory-based messages; 4) developing SMS technology; 5) addressing international SMS delivery; 6) testing; 7) system training and technical support; and 8) cost considerations. We discuss lessons learned and extractable principles that may be of use to other mHealth and HBC researchers working in similar LMIC contexts.Trial registration Clinicaltrials.gov, NCT03342274. Registered 10 November 2017.

Three consecutive cytosolic glycolysis enzymes modulate autophagic flux.

Autophagy serves as an important recycling route for the growth and survival of eukaryotic organisms in nutrient-deficient conditions. Since starvation induces massive changes in metabolic flux that are coordinated by key metabolic enzymes, specific processing steps of autophagy may be linked with metabolic flux-monitoring enzymes. We attempted to identify carbon metabolic genes that modulate autophagy using VIGS screening of 45 glycolysis- and Calvin-Benson cycle-related genes in Arabidopsis (Arabidopsis thaliana). Here, we report that three consecutive triose-phosphate-processing enzymes involved in cytosolic glycolysis, TPI (triose-phosphate-isomerase), GAPC (glyceraldehyde-3-phosphate dehydrogenase), and PGK (phosphoglycerate kinase), designated TGP, negatively regulate autophagy. Depletion of TGP enzymes causes spontaneous autophagy induction and increases AUTOPHAGY-RELATED 1 (ATG1) kinase activity. TGP enzymes interact with ATG101, a regulatory component of the ATG1 kinase complex. Spontaneous autophagy induction and abnormal growth under insufficient sugar in the TGP mutants are suppressed by crossing with the atg101 mutant. Considering that triose-phosphates are photosynthates transported to the cytosol from active chloroplasts, the TGP enzymes would be strategically positioned to monitor the flow of photosynthetic sugars and modulate autophagy accordingly. Collectively, these results suggest that TGP enzymes negatively control autophagy acting upstream of the ATG1 complex, which is critical for seedling development.

Method of Locating Loose Particles Inside Aerospace Equipment Based on Parameter-optimized XGBoost

The complex internal structure and heterogeneous composition material of aerospace equipment make it difficult to apply traditional acoustic emission source localization methods to the loose particle localization research. In previous studies, the authors transformed the loose particle localization problem into the multi-classification problem in machine learning, trained the loose particle localization model, but there were problems of low classification accuracy and low practicality. In this paper, the authors first introduced the ensemble learning idea into the loose particle detection field, designed a complete loose particle localization scheme, analyzed the above problems from multiple perspectives, and proposed new algorithms or strategies to enhance the superiority and practicability of the loose particle localization model. Specifically, in view of the low classification accuracy, the authors carried out the research on pulse preprocessing, feature engineering and model training from the four perspectives of signal, feature, data set and classifier, respectively. The zero-pulse-filling pulse matching algorithm and the channel-weighting-based feature selection method was newly proposed, Mel-Frequency Cepstral Coefficients features was newly extracted, feature optimization scheme was designed, and XGBoost ensemble classifier was trained. Thus, high-quality loose particle signals, high-quality localization data sets and high-performance loose particle localization models were obtained, respectively. Test results show that, the classification accuracy achieved by the new loose particle localization model was 96.80%, which was a significant improvement compared to the 83.53% achieved in previous studies. In view of the low practicality, the authors built the loose particle localization experimental system, gave the specific implementation steps of the loose particle localization method, as well as the general procedures for applying the loose particle localization model for physical testing. Meanwhile, taking into account the requirements of aerospace engineering applications, the authors added the majority voting strategy to convert classification results into localization results, thus newly proposed the definition of equipment-level loose particle localization accuracy. Several physical testing results show that, the loose particle localization model achieved a localization accuracy of 90.91%, which effectively verified the feasibility and stability of the proposed method. This study is an important supplement to the loose particle detection research, and of great significance in improving the reliability of aerospace systems.