bluuebunny/crossref_metadata_2025 huggingface dataset:
The Risk factors and adherence to hypotensor and hypotensive effect of ischemic stroke patients with hypertension
Authors: Han Zhiqian , Wei Shourong , Yao Huang , Gan Liangmin
Published: December 2022

Objective
To investigate the risk factors and adherence to hypotensor and hypotensive effect of ischemic stroke patients with hypertension.
Methods
The study enrolled 613 ischemic stroke cases from 2020.1-2022.4 of inpatient department of LiYuan Hospital, Tongji Medical College, Huazhong University of Science and Technology. Data on the type of stroke, frequency, demographics, chronic diseases history, the presence of influence factors and antihypertensive therapy were obtained from the electronic medical record (EMR). We used logistics model to investigate the possible risk factors of ischemic stroke with hypertension, and calculated the population attributable risk proportion (PARP). We also investigate the adherence to hypotensor and hypotensive effect.
Results
The average age of the 613 ischemic stroke patients was (71.07 ± 11.52) years old, 52.69% were males (323). In ischemic stroke patients, 78.79% had hypertension (483). According to the results of logistics model, ischemic stroke patients with diabetes had the highest risk to combine with hypertension, Odds Ratios (OR) was 2.83 (1.77 ~ 4.52). Considering the prevalence of each factor in ischemic stroke patients, Dyslipidemia had the highest PARP of 60.4% (95%CI:36.5%-76.8%). In ischemic stroke patients with hypertension, 89.44% (432/483) had taken hypotensors, 51.76% (250/483) met the required level.
Conclusion
There still were a large number of ischemic stroke patients with hypertension, a low rate of adherence to hypotensor and reaching the target.
Knowledge and Attitude Regarding Causes and Effects of Depression Among Fourth Year Degree Nursing Students at a University, Windhoek, Namibia.
Authors: Kadhila Joseph Galukeni , Dilu Penehafo
Published: December 2022

Background

Depression is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Depression is one of the most common yet serious mental health conditions that individuals have struggled with from the past to the present. Depression affects the functionality of a human being regardless of age, gender, ethnicity, or even religion. Depression is a state of restlessness which can be explained as the extremist and the most profound state of sadness, while restlessness is like a burning flame, and sadness is like the embers that remain after this flame calms down. Moreover, Depression results from a complex interaction of social, psychological and biological factors. Student nurses are care givers to the clients and patient, therefore it is of utmost importance that they must know the causes and effects of depression. Therefore, this study focuses on the knowledge, attitude and practice of 4th year degree nursing students at the main campus in Windhoek, regarding the causes and effects of depression.

Methodology

In this study Quantitative, descriptive approaches were employed to determine the knowledge, and attitude of 4rd year degree nursing students of UNAM main campus in Windhoek, regarding the causes and effects of depression. The target population for this study was 91 4th year degree nursing students at the University of Namibia, main campus, Windhoek. Data was collected from 28th August 2022 until 7th of October 2022 and self-structured questionnaires were used to collect the data. For this study, probability, random sampling was used.

Results

A response rate of 100% was achieved. Out of 79 participants, 86% were female and they were dominating while 14% were male. All participants were Christians. The majority of the participants had grade12 certificate as their highest qualifications 87% and the least had other (certificate, diploma, degree) 13%. The study revealed that there was good display of knowledge, attitude regarding the causes and effects of depression.
Risk Factors for Postoperative Cerebrospinal Fluid Leakage Following Retrosigmoid Approach Surgery for Vestibular Schwannoma
Authors: Hu Zuli , Song YueHua , Liao Gang , Wang Deliang , Yin Zhangjie , Xu Shan , Wang Chun liang
Published: December 2022

Objective
The purpose of this study was to investigate factors associated with postoperative CSF leakage.
Methods
The study included 441 patients who underwent a retrosigmoid approach for opening the internal auditory canal posterior wall during complete resection of Vestibular Schwannoma at the department of neurosurgery in the First Affiliated Hospital of Nanchang University between May 2012 and May 2022. We conducted a comparative analysis within fifteen days of surgery between patients with and without postoperative CSF leakage, which involved statistical factors, such as age, sex, recurrence, tumor size, tumor site, petrous apex pneumatization, internal auditory canal posterior wall pneumatization, and operation time.
Results
Our study showed that ten (2.27%) of 441 patients exhibited a postoperative CSF leak. Pneumatization of the IAC posterior wall showed statistical significance in postoperative CSF leakage (p < 0.01).
Conclusions
Pneumatization of the internal auditory canal posterior wall was found to be a risk factor for postoperative CSF leakage following the retrosigmoid approach.
The Pathways Study: a cohort study of new food-aid users in rural, semi urban, and urban areas of Quebec, Canada
Authors: Roncarolo Federico , Mercille Geneviève , Riva Mylene , Pérez Elsury , Blanchet Rosanne , Carabali Mabel , Sylvestre Marie-Pierre , Potvin Louise
Published: December 2022

Introduction: While considerable research has been conducted on household food insecurity (HFI), little research has examined the effects of food donation programs on users’ living conditions. The Pathways study was established to investigate the long-term effects of food donation programs on food insecurity as well as other critical outcomes, such as diet, health, and social support. Herein, we describe the design of the Pathways Study and the participants’ characteristics at baseline.
Methods: The Pathways study is a prospective cohort study of 1,001 food-aid users in Quebec (Canada). We recruited newly registered users of food donation programs from 106 community-based food-aid organizations that partnered with the study. Baseline data were collected through face-to-face interviews from September 2018 to January 2020, with planned follow-up interviews at 12 and 24 months after enrollment. Household food insecurity, diet, food competencies, food shopping behaviors, perceived food environment, health status, social support and isolation, sociodemographic characteristics, housing conditions, negative life events, and the impacts of COVID-19 were assessed with validated questionnaires.
Results: The cohort included 1,001 participants living in rural (n=181), semi-urban (n=250), and urban areas (n= 570). Overall, household food insecurity was reported as severe among 46.2% and moderate in 36.9% of participants. Severe household food insecurity was more prevalent in rural (51.4%) and urban (47.8%) areas compared to semi-urban (39%) areas. Overall, 76.1% of participants reported an annual income below C$20,000. Half (52%) had low education levels (high school or lower), 22.0% lived in single-parent households, and 52.1% lived alone. Most (62.9%) experienced at least one major financial crisis in the preceding year.
Conclusions: Results show that newly registered users of food donation programs often have low-income and severe food insecurity, with major differences across geographical locations. The Pathways study is the first study designed to follow, over a two-year period, a cohort of newly registered users of food donation programs and to quantify their trajectories of service use. Findings from the Pathways study might help adapt the community response to the strategies used by food-insecure households to feed themselves.
A fluorescent probe based on the hydrazone Schiff base for the detection of Zn 2+ and its application on test strips
Authors: Xu Guo , Ma Shu-Jie , Zhang Hua-Hong , Jing Jing , Chen Xing-Han , Zhang Xiao-Peng
Published: December 2022

A novel fluorescent probe SHK for Zn2+ detection was designed based on the hydrazone Schiff base, successfully synthesized by Suzuki coupling and condensation reactions. The probe SHK in DMSO/H2O showed extremely weak fluorescence. However, the solution exhibited an intensive yellow-green emission with the introduction of Zn2+. In contrast, negligible fluorescence change was observed when other metal ions were added, suggesting a high selectivity of SHK for Zn2+ detection. The Job’s Plot analysis revealed that a 1:1 stoichiometric adduct SHK-Zn2+ formed during the Zn2+ sensing. The binding constant of the complex was determined to be 184 M− 1, and the detection limit for Zn2+ was calculated to be 112 µM. Moreover, the probe SHK achieved selective fluorescence sensing for Zn2+ on test strips, which guaranteed its practical application prospect.
The use of Pediatric Short-Stay Observation in Italy
Authors: Pinto Luciano , Bianchini Sonia , Barbieri Maria Antonietta , Cherchi Gabriella , Miceli Andrea , Mirauda Maria Pia , Russotto Valeria Spica , Raffaldi Irene , Zangardi Tiziana , Perri Domenico , Agostiniani Rino , Rugolotto Simone , Cardinale Fabio , Zampogna Stefania , Staiano Annamaria
Published: December 2022

Background
In Italy, the State Regions Conference on 1° August 2019 approved the Guidelines for Short-Stay Observation (SSO). At the beginning of 2022, the main Scientific Societies of the pediatric hospital emergency-urgency area launched a national survey to identify the extent to which these national guidelines had been adopted in the emergency rooms and pediatric wards of the Italian regions.
Methods
A survey has been widespread, among Pediatric Wards and Pediatric Emergency Departments, using an online questionnaire on Google Drive, or by filling in a paper questionnaire, to be sent to the organizers of the survey.
Results
Currently, 8/20 Regions have not yet adopted the Guidelines. As of 12 November 2022, data from 246 hospitals were collected. There are actually 174/246 active Pediatric SSO (70,73% of the Hospitals). There are not active SSO in the 35% of first level DEAs, in the 20% of second level DEAs, and in the 35% of General Hospitals with Pediatric Wards. Active SSO are located mainly (75%) within Pediatric Wards. This survey is still ongoing, and it has been completed in 13 Regions: in the 6 Regions which are using guidelines, SSOs are active in all the second level DEAs (compared to 55,6% of the other 6 Regions), in the 89,7% of first level DEAs (compared to the 22,6%), and in the 94,4% of General Hospitals (compared to 32,3%). Differences result statistically significant: p <0,0001.
Conclusions
The delay in adopting specific guidelines negatively influences activation of SSOs in hospital system and prevents the adjustment of welfare level to new needs. To facilitate the activation of SSOs in hospitals, it is also necessary to guarantee adequate economic recognition for this form of assistance
Fabrication, Comparison, Optimization, and Applications of Conductive Graphene Patterns Induced via CO2 and Diode Lasers
Authors: Sajid Memoon , Awan Faisal Saeed , Javed Mazhar , Khattak Zarak Jamal , Hussain Syed Gohar , Farhad Syed , Rahman Khalid , Saleem Mohsin
Published: December 2022

Fabrication of conductive patterns for flexible and printed electronic devices is one of the most challenging steps in the whole process. Conductive patterns in electronic devices are used as electrodes, transducers, connecting links, and sometimes, also as the active sensing elements. Since the introduction of laser induced graphene (LIG), it has been explored to print electrodes and connecting patterns for various electronic devices and systems. This work focuses on an in-house developed laser printing system and the comparison of various electrical, chemical, and morphological properties of the resulting LIG patterns using CO2 and diode lasers. The system parameters including the laser power, relative printing speed, and the printing resolution were explored and optimized to achieve conductive patterns with varying properties suitable for different targeted applications. The fabricated patterns were characterized for their sheet resistance, surface morphology using scanning electron microscope (SEM), chemical properties using Energy Dispersive (EDS) and RAMAN spectroscopies, and physical size and resolution using optical microscopy. Continuous conductive patterns with sheet resistance in range of 11.5 Ω/□ to 43 Ω/□ were achieved using CO2 laser with a minimum achievable pattern width of ~ 180 µm while patterns with sheet resistance in range of 19 Ω/□ to 105 Ω/□ were achieved using diode laser with a minimum pattern width of ~ 190 µm. The chemical and morphological properties of CO2 laser-based patterns indicate the formation of 2D graphite sheets with high porosity and low O2 concentration while the diode laser-based patterns have a lower porosity and higher percentage of O2 indicating burning and the formation of oxides. Various applications of both types have also been discussed based on their respective properties.
The evolution of the Human mitochondrial bc1 complex- adaptation for reduced rate of superoxide production?
Authors: Rottenberg Hagai
Published: December 2022

The mitochondrial bc1 complex is a major source of mitochondrial superoxide. While bc1-generated superoxide plays a beneficial signaling role, excess production of superoxide lead to aging and degenerative diseases. The catalytic core of bc1 comprises three peptides -cytochrome b, Fe-S protein, and cytochrome c1. All three core peptides exhibit accelerated evolution in anthropoid primates. It has been suggested that the evolution of cytochrome b in anthropoids was driven by a pressure to reduce the production of superoxide. In humans, the bc1 core peptides exhibit anthropoid-specific substitutions that are clustered near functionally critical sites that may affect the production of superoxide. Here we compare the high-resolution structures of bovine, mouse, sheep and human bc1 to identify structural changes that are associated with human-specific substitutions. Several cytochrome b substitutions in humans alter its interactions with other subunits. Most significantly, there is a cluster of seven substitutions, in cytochrome b, the FeS protein, and cytochrome c1 that affect the interactions between these proteins at the tether arm of the Fe-S protein and may alter the rate of ubiquinone oxidation and thus the rate of superoxide production. Another cluster of substitutions near heme bH and the ubiquinone reduction site, Qi, may affect the rate of ubiquinone reduction and thus alter the rate of superoxide production. These results are compatible with the hypothesis that cytochrome b in humans (and other anthropoid primates) evolve to reduce the rate of production of superoxide thus enabling the exceptional longevity and exceptional cognitive ability of humans.
Unconscious goal pursuit strengthens voluntary force during sustained maximal effort via enhanced motor system state
Authors: Takarada Yudai , Nozaki Daichi
Published: December 2022

Shouting during sustained maximal voluntary contraction (MVC) has been shown to potentiate maximal voluntary force through the enhancement of motor cortical excitability. However, it is not clear whether excitatory input from areas other than the motor-related cortical area to the primary motor cortex (M1) induces muscular force-enhancing effects on sustained maximal force exertion. We investigated the effects of subliminal goal-priming with motivational reward on motor system state by examining motor evoked potentials to transcranial magnetic stimulation during sustained MVC, and assessing handgrip force. The results revealed that barely visible priming of an action concept, when combined with a reward in the form of a consciously visible positive stimulus, increased maximal voluntary force and reduced the silent period (i.e., reduced motor cortical inhibition). This is the first objective evidence linking the muscular force of subliminal reward-goal priming during MVC to the enhancement of motor system activity through the additional drive of subliminal reward-goal priming operating on the motor system, possibly via the potentiation of reward-linked dopaminergic system activity.
Bio-Inspired Approach to Extend Customer Churn Prediction for the Telecom Industry in Efficient Way
Authors: Chinnaraj Ramesh
Published: December 2022

Churn prevention has always been a top priority in business retention. The significant problem of customer churn was confronted by the telecommunications industry due to saturated markets, harsh competition, dynamic criteria, as well as the launch of new tempting offers. By formalizing the telecom industry's problem of churn prediction as a classification task, this work makes a contribution to the field. To effectively track customer churn, a churn prediction (CP) model is needed. Therefore, using the deep learning model known as the reformatted recurrent neural network in conjunction with the Elephant herding optimization (EHO) method, this work provides a novel framework to forecast customer turnover (R-RNN). EHO is a meta-heuristic optimization algorithm that draws inspiration from nature and is based on the herding behaviour of elephants. The distance between the elephants in each clan in relation to the location of a matriarch elephant is updated by EHO using a clan operator. For a wide range of benchmark issues and application domains, the EHO approach has been shown to be superior to several cutting-edge meta-heuristic methods. In order to classify the Churn Customer (CC) and a regular customer, RRNN is modified. This improved EHO effectively optimises the specific RNN parameters. If a client churns as a result, network usage is examined as a retention strategy. However, this paradigm does not take into account the number of consumers who leave based on how often they use their local networks. The results of the simulation and performance metrics-based comparison are assessed to show that the newly proposed technique can identify churn more successfully than pertinent techniques.
Analyzing the role of consumer behavior in coping with intermittent supply in water distribution systems
Authors: Abhijith Gopinathan R , Naidu Maddukuri Naveen , Boindala Sriman Pankaj , Vasan A , Ostfeld Avi
Published: December 2022

In developing countries, most water distribution systems (WDS) are operated as intermittent water supply (IWS) systems. A significant share of them also delivers water to consumers in irregular and unreliable ways. To meet water demands under such inconsistent WDS operations, IWS consumers commonly adapt to flexible consumption behaviors characterized by storing the limited water available during shorter supply periods in intermediate storage facilities for subsequent usage during more extended non-supply periods. Towards accounting for this characteristic behavior in understanding the IWS behavior more realistically, this paper presented the development, functioning, and application of a novel open-source PYTHON-based simulation tool (EPyT-IWS) for WDS, virtually acting like an IWS modeling extension of EPANET 2.2. EPyT-IWS integrates EPANET 2.2 solver with an independent hydraulic solver to mimic the water withdrawal during supply periods, storage in intermediate storage facilities, and subsequent use. The applicability of the simulation tool was demonstrated by performing extended-period hydraulic simulations on a typical WDS with representative IWS attributes. The simulation outcomes showed that practicing the typical consumption behavior, involving storing water within underground tanks and later pumping it into overhead tanks, allows consumers to cope with the intermittent water availability and meet their demands very suitably. Besides the water supply duration, the clock time of water supply in IWS systems was predicted to influence consumers' ability to fill the intermediate storage tanks and meet water demands. This study's overall findings can advance the state-of-the-art for planning, designing, and operating WDS with IWS characteristics.
Effects of prone position versus usual care on acute hypoxaemic respiratory failure in patients with COVID‑19: a systematic review and meta-analysis of randomized controlled trials
Authors: Peng Qing , Yang Sheng , Zhang Yu , Zhao Wenjie , Hu Man , Meng Bo , Ni Huanhuan , Min Lingfeng , Yu Jiangquan , Wang Yongxiang , Zhang Liang
Published: December 2022

Background: Previous studies have shown that prone position may be beneficial for the treatment of acute respiratory distress syndrome (ARDS) or acute hypoxic respiratory failure (AHRF) in COVID-19 patients, but the results are not consistent, especially in terms of oxygenation outcomes and intubation rate. This systematic review and meta-analysis assessed the effects of prone position on AHRF in COVID-19 patients with all randomized controlled trials (RCTs).
Methods: An extensive search of online databases, including MEDLINE, Embase, Web of Science and Cochrane Central Register of Controlled Trials from December 1, 2019 to October 30, 2022, with no language restrictions. This systematic review and meta-analysis are based on the PRISMA statement and has been registered on the International Prospective Register of Systematic Reviews (PROSPERO) with the registered ID: CRD42022367885. We only included RCTs and used Cochrane risk assessment tool for quality assessment.
Results: Twelve RCTs fulfilled the selection criteria and 3154 patients were included. Meta-analysis found that patients in prone position group had more significant improvement in the SpO2/FiO2 ratio (mean difference [MD]: 29.76; 95% confidence interval [CI]: 1.39 to 48.13; P=0.001) compared with usual care. Prone position also reduced the need for intubation (odd ratio [OR]: 0.72; 95% CI: 0.62 to 0.85; P＜0.0001; I2=0%). There was no significant difference in mortality, hospital length of stay, incidence of intensive care unit (ICU) admission and adverse events between the two groups.
Conclusions: Prone position was a promising intervention method, which is beneficial to improve the oxygenation of patients with ARDS or AHRF caused by COVID-19 and can reduce the need for intubation. However, prone position had no significant difference in mortality, hospital length of stay, incidence of ICU admission and adverse events.
Do blood pressure changes following a small bolus of propofol correlate with fluid responsiveness as assessed with stroke volume variation – an experimental study
Authors: Stefaniak Jan , Spychalski Piotr , Owczuk Radosław
Published: December 2022

Background

For many years, in everyday practice at intensive care units (ICUs) and in high-risk surgery patients, there has been a need for objective and repetitive methods to assess patients’ volemia. Hypotension consecutive to propofol administration may be dependent on volemia. In oligovolemic patients, propofol-induced sympathetic nervous system depression may cause a decrease in blood pressure greater than that in normovolemic patients. The aim of the study was to determine whether blood pressure decrease after a small bolus of propofol will correlate with fluid responsiveness evaluated with stroke volume variation (SVV) obtained with a PiCCO (Getinge AB, Göteborg, Sweden) device.

Methods

We enrolled 50 intensive care unit (ICU) patients whose lungs were mechanically ventilated. The patients were temporarily sedated with midazolam infusion for the length of the trial. Prior to propofol injection, the following parameters were acquired for every patient: heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), invasive blood pressure and infusion rate of catecholamines and noradrenergic vasopressors. The PiCCO device was calibrated, and stroke volume variation (SVV) was calculated and recorded. Each patient received consecutive propofol boluses of 0.25 mg kg− 1, 0.5 mg kg− 1, and 1.0 mg kg− 1. After each bolus, systolic and diastolic invasive blood pressure, heart rate (HR), continuous cardiac output (CCO), continuous cardiac index (CCI), stroke volume index (SI), and stroke volume variation (SVV) were recorded every fifteen seconds for ten minutes.

Results

We found a statistically significant weak-to-moderate positive correlation after propofol 1 mg kg− 1 between ΔSBP and SVV for every timepoint (p < 0.05). Additionally, we discovered statistically significant differences (t test, p = 0.004), with a mean difference of -15.42 mmHg (95% CI, -25.73 to -5.11), between ΔSBP (135) in patients receiving > 0.2 mcg kg− 1 min− 1 norepinephrine and patients receiving ≤ 0.2 mcg kg− 1 min− 1 norepinephrine.

Conclusion

We found that a 1 mg kg− 1 bolus of propofol cannot predict fluid responsiveness in ICU patients receiving norepinephrine infusion. We believe, however, that these findings open a new field for further study in noninvasive haemodynamic measurements.
Trial registration
Prior to the study, Independent Bioethical Committee consent was sought and obtained (NKKBN/91-147/2019). This study was registered at ClinicalTrails.gov (NCT03917446) on 17th April 2019, retrospectively registered.
Comparing sweet potato chloroplast genome and mitochondrial genome reveals organelle gene transfer
Authors: li Guoliang , qiu sixin
Published: December 2022

The increasing number of plant mitochondrial genomes (mtDNA) sequenced reveals the extent of transfer from both chloroplast (cpDNA) and nuclear genomes (nDNA). This study created a library and assembled the chloroplast and mitochondrial genomes of the leafy sweet potato Fucaishu18 better to understand the extent of mitochondrial and chloroplast gene transfer. The full-length chloroplast genome of Fucaishu18 (OM808940) is 161387 bp, with 132 genes annotated, including 87 protein-coding genes, 8 rRNA genes, and 37 tRNA genes. The mitochondrial genome (OM808941) was 269578 bp in length and contained 70 functional genes, including 41 protein-coding genes, 6 rRNA genes, and 24 tRNA genes. 68 SSR loci were found in the leafy sweet potato organelle genome, including 54 in the chloroplast genome and 14 in the mitochondria genome. In the sweet potato mitochondrial genome, most genes have RNA editing sites, and the conversion ratio from hydrophilic amino acids to hydrophobic amino acids is the highest, reaching 47.12%. Horizontal transfer occurs in the sweet potato organelle genome; 40 mitochondrial genome segments share high homology with 14 chloroplast genome segments, 33 of which may be derived from chloroplast genome horizontal transfer. The phylogenetic analysis of organelle genes revealed that the leafy sweet potato was closely related to the tetraploid wild species Ipomoea tabascana and the wild diploid species Ipomoea trifida.
Laparoscopic distal pancreatectomy may be an ideal surgical method for benign tumors in the pancreatic neck
Authors: Huang Song , Zhang Jia , Huang Yong
Published: December 2022

Aims
The two surgical methods that can remove pancreatic neck lesions are laparoscopic distal pancreatectomy (LDP) and laparoscopic central pancreatectomy (LCP). However, the benefits of the two surgical methods remain controversial.
Methods
We aimed to compare the benefits and drawbacks of LDP and LCP. In total 50 patients who underwent LDP (n = 34) or LCP (n = 16) between January 2014 and November 2019 were retrospectively reviewed from our database. Their preoperative characteristics, operative data, pathological features, and postoperative outcomes were analyzed.
Results
The baseline features did not significantly differ between the groups (P < 0.05). Compared to the patients in the LDP group, those in the LCP group had significantly longer operation time (392 ± 144 vs. 269 ± 130 min, P = 0.007), time to oral intake (3.8 ± 1.3 vs. 2.8 ± 0.9 days, P = 0.017), and hospital stay (19.6 ± 5.1 vs. 15.4 ± 4.1 days, P = 0.008), and higher hospital expenses (10.1 ± 6.2 vs. 6.6 ± 1.5 WanRMB, P = 0.023). However, there were no significant differences between the two groups in conversion rate (0/16 vs. 0/34), blood loss (154 ± 93 vs. 211 ± 170 ml, P = 0.224), postoperative white blood cell count (10.3 ± 2.7 vs. 11.1 ± 3.1, P = 0.432), first random blood glucose test results after operation (8.2 ± 2.1 vs. 8.6 ± 2.6 mmol/L, P = 0.696), and ascites amylase level on the third day after the surgery [5212(3110, ± 14176) vs. 3142(604,13761) U/L, P = 0.167]. There were also no significant differences in postoperative diabetes incidence (1/16 vs. 5/34) between the two groups. However, LCP was associated with significantly higher rates of pancreatic fistula grades B and C (P = 0.005) and postoperative hemorrhage (P = 0.031).
Conclusion
The only advantage of LCP is that it can retain more pancreatic tissue; however, it poses higher risks to the patients. Moreover, it does not increase postoperative diabetes incidence in patients.
The m 6 A methyltransferase METTL3 affects cell proliferation and migration by regulating YAP expression in Hirschsprung disease
Authors: Zhaorong Huang , Caiyun Luo , Xinwei Hou , Daiyue Yu , Yuqian Su , Xinxin Li , Yinyan Luo , Guoying Liao , Jianhua Mu , Kai Wu
Published: December 2022

Background METTL3, a mRNA m6A methyltransferase, has been implicated in various steps of mRNA metabolism, such as stabilization, splicing, nuclear transportation, translation, and degradation. However, whether METTL3 dysregulation is involved in Hirschsprung disease (HSCR) development remains unclear. In this study, we preliminarily elucidated the role of METTL3 in HSCR and sought to identify the associated molecular mechanism.
Methods The gene expression levels of YAP and several methyltransferases, demethylases, and effectors were evaluated by RT-qPCR. Protein levels were evaluated by western blot and immunohistochemistry. Cell proliferation and migration were detected by CCK-8 and Transwell assays, respectively. The overall levels of m6A modification were determined by colorimetry.
Results We found that m6A levels were reduced in stenotic intestinal tissue of patients with HSCR. When METTL3 was knocked down in SH-SY5Y and HEK-293T cells, the proliferative and migratory abilities of the cells were inhibited, m6A modification levels were reduced, and YAP expression was increased. Importantly, YAP and METTL3 expression displayed a negative correlation in both cell lines as well as in HSCR tissue.
Conclusions Our results provide evidence for an interaction between METTL3 and YAP in HSCR, and further suggest that METTL3 is involved in the pathogenesis of HSCR by regulating neural crest cell proliferation and migration upstream of YAP.
Glycyrrhizic Acid Inhibits Myeloid Differentiation of Hematopoietic Stem Cells by binding S100 Calcium Binding Protein A8 to Improve Cognition in Aged Mice
Authors: Gong Xue , Shen Haitao , Guo Liuling , Huang Ce , Su Tingting , Wang Hao , Feng Shengyu , Yang Shanshan , Huo Fenjiao , Liu Haifeng , Zhu Jianbo , Li Hongbin , Zhu Jian-Kang , Liu Hailiang
Published: December 2022

Background:Glycyrrhizic acid (GA), a saponin compound often used as a flavoring, can elicit anti-inflammatory and anti-tumor effects, and alleviate aging. However, the specific mechanism by which GA alters immune cell populations to produce these beneficial effects is currently unclear.Results:In this study, we systematically analyzed single-cell sequencing data of peripheral blood mononuclear cells from young mice, aged mice, and GA-treated aged mice. Ourin vivoresults show that GA reduced senescence-induced increases in macrophages and neutrophils, and increased numbers of lymphoid lineage subpopulations specifically reduced by senescence.In vitro, GA significantly promoted differentiation of Lin-CD117+hematopoietic stem cells toward lymphoid lineages, especially CD8+T cells. Moreover, GA inhibited differentiation of CD4+T cells and myeloid (CD11b+) cells by binding to S100 calcium-binding protein 8 (S100A8) protein. Overexpression of S100A8 in Lin-CD117+hematopoietic stem cells enhanced cognition in aged mice and the immune reconstitution of severely immunodeficient B-NDG mice.Conclusions:Collectively, GA exerts anti-aging effects by binding to S100A8 to remodel the immune system of aged mice.
Predicting the intestinal permeability and oral absorbable fraction of Vancomycin–loaded Eudragit RS-100 nanoparticles using single-pass intestinal perfusion in rats
Authors: Maram Nader Shakiba , Ahmady Amanollah Zarei , Jelvehgari Mitra , Nokhodchi Ali , Maram Ghazaleh Shakiba , mafakher ladan
Published: December 2022

One of the important factors which influence the efficacy of antibiotics is the size of the particle that affects the permeability and penetration of antimicrobial agents in infected tissue. Vancomycin hydrochloride (VCM), as a large hydrophilic antibiotic, is unable to pass through the intestinal barrier, this antibiotic is administered intravenously to treat systemic infections. One of the approaches to increasing the absorption and permeability of drugs is reducing the size of drugs. For this reason, in this study, the intestinal permeability coefficient and the oral absorbable fraction of Vancomycin nanoparticle were assessed compared to its routine form. To analyze Permeability effectiveness (Peff), absorbable fraction, and absorption number of Vancomycin in nanoparticle and solution form at a concentration of 200, 300, and 400 µg/ml and flow rate of 0.2 ml/min for 80 min, Single-pass intestinal perfusion(SPIP) method was performed. Data showed that the Effective permeability(Peff) of Vancomycin nanoparticles were 2.16, 1.43, and 2.66-fold higher than the routine form of Vancomycin at concentrations of 200, 300, and 400 µg/ml, respectively. Also, this result found a strong relationship between rat and human intestinal permeability. This means that the SPIP method could effectively predict the human Peff by rat model. Stability analysis of Vancomycin nanoparticles in 0, 1, and 2 hours illustrated no mark of corruption of the drug in nanoparticle form. Results showed that vancomycin nanoparticles had a better absorbable fraction and absorption number value than Vancomycin solution after oral drug administration.
Flexible-fabricated sensor module with programmable magnetic actuators coupled to L-cysteine functionalized Ag@Fe 3 O 4 complexes for Cu 2+ detection in fish tissues
Authors: Han Kuiguo , Jiang Bin , Tong Yanqun , Zhang Wen , Zou Xiaobo , Shi Jiyong , Su Xiaoyu
Published: December 2022

Heavy metal contamination for seafood, particularly fish, is arising great concerns, and consequentially it is necessary to develop a simple and direct detection method. In this work, Ag@Fe3O4 is successfully prepared by simple solvothermal method, and we present a flexible-fabricated sensor module with assembled programmable magnetic actuators. The resulting sensor integrates a three-electrode system with two programmable magnetic actuators at the bottom of the device, which regulates the amount of current by adjusting the brake to control the adsorption force and vibration. The L-Cysteine functionalized Ag@Fe3O4 is coated on the surface of the electrode, then the Cu2+ is dropped into the reaction tank. Its performance is studied by cyclic voltammetry and electrochemical impedance spectroscopy, and the key experimental conditions such as deposition potential, deposition time, and electrolyte pH are gradually optimized. Under optimal conditions, Cu2+ can be detected over a wide linear range (0.01~4 μM) and at a low LOD (0.34 nM). The results show that the proposed method has a good application prospect in the detection of Cu2+. This method is successfully applied to Cu2+ analysis in fish samples with an acceptable recovery of 93~102 %.
Immunogenic Cell Death-based prognostic model for predicting the response to immunotherapy and common therapy in lung adenocarcinoma
Authors: Zhou Xiang , Lu Tong , Wang Chenghao , Chang Xiaoyan , Xu Ran , Peng Bo , Shen Zhiping , Yao Lingqi , Wang Kaiyu , Xu Chengyu , Shi Jiaxin , Zhang Ren , Zhao Jiaying , Zhang Linyou
Published: December 2022

Lung adenocarcinoma (LUAD) is a malignant tumor in the respiratory system. The efficacy of current treatment modalities varies greatly, and individualization is evident. Therefore, finding biomarkers for predicting treatment prognosis and providing reference and guidance for formulating treatment options is urgent. Cancer immunotherapy has made distinct progress in the past decades and has a significant effect on LUAD.Immunogenic Cell Death (ICD) can reshape the tumor’s immune microenvironment, contributing to immunotherapy. Thus, exploring ICD biomarkers to construct a prognostic model might help individualized treatments. We used a lung adenocarcinoma (LUAD) dataset to identify ICD-related differentially expressed genes (DEGs). Then, these DEGs were clustered and divided into subgroups. We also performed variance analysis in different dimensions. Further, we established and validated a prognostic model by LASSO Cox regression analysis. The risk score in this model was used to evaluate prognostic differences by survival analysis. The treatment prognosis of various therapies were also predicted LUAD samples were divided into two subgroups. The ICD-high subgroup was related to an immune-hot phenotype more sensitive to immunotherapy. The prognostic model was constructed based on six ICD-related DEGs. We found that high-risk score patients responded better to immunotherapy. The ICD prognostic model was validated as a standalone factor to evaluate the ICD subtype of individual LUAD patients, which might contribute to more effective therapies.
A general co-simulation framework for the generation of coupling condition schemes based on a novel weak formulation at the interface
Authors: Koutras Evangelos , Paraskevopoulos Elias , Natsiavas Sotirios
Published: December 2022

Co-simulation techniques are widely used to enable global simulation of a coupled mechanical system via composition of simulators. Within this work, the focus is initially placed on a new scheme for the numerical integration of each subsystem since the corresponding accuracy affects directly the correct solution of a decomposed model. Following that, the new co-simulation methods are introduced. Specifically, a novel coupling strategy for satisfying the coupling conditions in their integral (weak) form, in the time domain, is proposed. This formulation constitutes a general framework for the generation of coupling condition schemes with varying accuracy and stability properties, based on the choice of basis and order of polynomials for the involved quantities, thus creating a whole new perspective on the field of co-simulation. In addition, the point-collocation method, which is mainly employed in the literature, is easily recognized as a degenerate case of this general weak formulation. The essential ideas of the new techniques are initially introduced by utilizing a simple linear model of two masses, constrained with a fixed joint. Subsequently, nonlinear models of a single and a double planar pendulum are investigated for the new numerical integration and co-simulation techniques, respectively. The models examined are relatively simple, but the developed methods have general validity and can be applied for coupling arbitrary multibody or structural solvers.
Prediction of Thermal Modified Wood Color Change after Artificial Weathering Based on IPSO-SVM Model
Authors: Li Juncheng , Wang Wei , Wang Haolin
Published: December 2022

The support vector machine (SVM) model was applied to the prediction of the color change of heat-modified wood after artificial weathering. In order to improve the prediction performance, the improved particle swarm optimization (IPSO) algorithm was used to optimize the parameters of the SVM model, and the IPSO-SVM model was established based on the nonlinear descending weight strategy to improve the particle swarm optimization. To verify the performance of the established model, MAE, RMSE and R2 of the test set and training set were compared with the PSO-SVM model and SVM model. According to the analysis of the results, the RMSE of the training set data of IPSO-SVM model is reduced by 49% and 72%, the MAE is reduced by 52% and 78%, and the RMSE of the test set data is reduced by 6% and 24%, and the MAE is reduced by 2% and 25%, respectively. The results show that the support vector machine optimized by the improved particle swarm optimization algorithm is more accurate in predicting the color change of the heat-modified wood after artificial weathering.
Parent Involvement in Mental Health Treatment for Autistic Children: A Grounded Theory-Informed Qualitative Analysis
Authors: Chan Victoria , Albaum Carly S. , Khanlou Nazilla , Westra Henny , Weiss Jonathan A.
Published: December 2022

Cognitive behavior therapy (CBT) is an effective treatment for many autistic children experiencing mental health problems, and parents are particularly involved in their psychotherapy. This study presents a conceptual framework of successful parent involvement in CBT for autistic children. Seventeen therapists (94% female) and 11 mothers were interviewed about their involvement in a CBT program for autistic children ages 8-13 years. The conceptual framework depicts how parent involvement varies depending on child, parent, and environmental factors. Parents’ contributions to therapy were grouped into five main roles. Parents’ beliefs and attitudes toward therapy also influenced their involvement. This is the first study to empirically investigate how parents of autistic children contribute to the therapeutic process in CBT.
Dynamics of a Non-autonomous Predator-preysystem With Holling Type III Response
Authors: K Bharadwaj B V , Koaru Sreevatsava , K Vamsi D K
Published: December 2022

In this paper, we study few complex dynamics of a non-autonomous predator-prey system with a Holling type III functional response.We present conditions for boundedness, positive invariance, permanence and ultimately boundedness of solutions.
Ontology-based Soft Computing and Machine Learning Model for Efficient Retrieval
Authors: ANAND SANJAY KUMAR , KUMAR SURESH
Published: December 2022

Unstructured and unorganized data always degrade the performance of search techniques and produce irrelevant results in response to the query as well as decrease the speed of retrieval results. Ontology in Semantic Web (SW) provides an adequate solution to represent the knowledge, because of its backbone knowledge of an application or domain. But, a domain ontology has three basic problems while retrieving useful knowledge from a domain ontology- structuring/arrangement, unnecessary knowledge reduction, selection and extraction, and speeding up the retrieval process. To handle such a problem, the MLK-rBO model is proposed that works for four different phases- clustering, knowledge discovery, building a probabilistic network, and model evaluation using the ensemble approach of three different techniques namely clustering, rough set, and Bayesian network (BN). Finally, the proposed model is tested with statistical parameters and compared with other models namely DT, RF, and SVM to check the effectiveness of MLK-rBO. By analyzing the experimental results, we observed that the MLK-rBO gives better accuracy (98.36 \%) than the available models.
Understanding Bike-sharing Mobility Patterns in Response to the COVID-19 Pandemic
Authors: jia jianmin , Liu Chunsheng , Zhang Hui , Xiao Yan , Wang Xiaohan
Published: December 2022

The outbreak of COVID-19 brings huge challenges to the bike-sharing system and even society structure. Thus, it is urgent to fully understand the impacts of pandemic on bike-sharing behavior. This paper proposed a comprehensive approach to investigate the mobility patterns influenced by the outbreak of COVID-19 pandemic with the case in Washington D.C. Multiple-source data, including bike-sharing trip information, COVID-19 information, geographic and POI information, were collected. Although the total bike-sharing trips decreased up to 80% in spatial-temporal analysis, the trips made by casual user still increased. In addition, the docking stations and trips from 2019 to 2021 were utilized to construct the bike-sharing network. The results present that major network properties, such as connectivity, clustering coefficient, and accessibility, experienced significant decrease during the pandemic. Through the detection of community with modularity method, the evolution of community structure before and after pandemic was captured. The increased long-range and long-time bike-sharing trips results in the combination between central communities and outer communities. To better understand the community structure, the POI (Point of Interests) auxiliary analysis was conducted and central community was found to have similar proportion of POIs even during the pandemic. Implications for bike-sharing management and operation policy was also addressed.
Mining immune-related LncRNAs in ovarian cancer for prognostic risk modelling and screening of potential target drugs
Authors: Dong Ying , Deng Yue , Zhao Lizhu , Yang Lihua
Published: December 2022

Objective: To screen out ovarian cancer (OC) immune-related LncRNAs, construct a prognostic model for OC and screen out target molecular drugs for OC based on comprehensive bioinformatics analysis.
METHODS: Gene expression matrices of 586 OC samples and clinical information of patients were downloaded from the TCGA database, and gene expression matrices of 122 normal OC samples and clinical information of patients were downloaded from the GTEx database, and comprehensive bioinformatics analysis methods were performed, including identification of prognosis-related immune genes (PI-genes), construction of OC prognostic models and their differential gene analysis, survival analysis, risk analysis, independent prognostic analysis and ROC curve mapping, immune correlation analysis and screening of potential target drugs for OC.
Results: 540 immune-related lncRNAs (I-lncRNAs) and various clinical traits were analysed for differential gene expression, followed by the identification of 49 PI-genes and the construction of the prognostic model based on 27 candidate PI-genes (CPI-genes) (COLCA1, MINCR, AC068792.1, AL391807.1, AC027020.2, MINCR, AC068792.1, AL391807.1, AL391807.1, AL391807.1, AL391807.1). AC027020.2, MIRLET7BHG, DLGAP1-AS1, DICER1-AS1, AJ011932.1, AC091806.1, FAM27E3, ALDH1L1-AS2, AC008522.1, AC112491.1, AC134312.1, AC010733.1, FRMD6-AS2, DLGAP1-AS2, PSMB8-AS1, AC012645.4, SLX1A-SULT1A3, AC027348.1, FAM157C, AL121845.4, CHRM3-AS2, PKP4-AS1, U62631.1) . The subsequent analysis showed that the prognostic model could predict the survival and risk prognosis of patients in the high and low-risk groups and validated the independent predictive ability and predictive accuracy of the prognostic model, as well as clarified its relationship with immune function. Finally, three potential target drugs for OC (Ponatinib, Luminespib and Axitinib) were identified.
CONCLUSION: A prognostic model for OC based on 27 CPI-genes was constructed, and three potential target molecular drugs were screened, which is expected to provide new ideas for prognostic prediction and precise treatment of OC.