Worse Effects Research Articles

Co-exposure to polyethylene fiber and Salmonella enterica serovar Typhimurium alters microbiome and metabolome of in vitro chicken cecal mesocosms.

Researching the exposome, a summation of exposure to one's lifespan, will aid in determining the environmental factors that contribute to disease states. There is an emerging concern that microplastic-pathogen interactions in the gastrointestinal tract of broiler chickens may lead to an increase in Salmonella infection across flocks and eventually increased incidence of human salmonellosis cases. In this research article, we elucidated the effects of acute co-exposure to polyethylene microplastics and Salmonella enterica serovar Typhimurium on the ceca microbial community in vitro. Salmonella presence caused strong shifts in the cecal metabolome but not the microbiome. The inverse was true for polyethylene fiber. Polyethylene powder had almost no effect. The co-exposure had worse effects than either alone. This demonstrates that exposure effects to the gut microbial community are contaminant-specific. When combined, the interactions between exposures exacerbate changes to the gut environment, necessitating future experiments studying low-dose chronic exposure effects with in vivo model systems.

The Impacts of COVID-19 Restrictions on Quality Adjusted Life Years (QALY): Heterogeneous effects and post-pandemic recovery.

Estimate the effects of non-pharmacological interventions used to prevent the spread of COVID-19 on the quality of life, measured by Quality Adjusted Life Years (QALYs). A survey on 1,506 heads of households from Chile in May of 2022. Respondents were asked basic socioeconomic questions and a version of the EQ-5D-5L questionnaire that was used to calculate the evolution of HRQoLs. Comparisons of means in HRQoLs measures before the pandemic, at the peak of restrictions, and at the moment of the survey were performed. The average HRQoL of the population before the pandemic was similar to other countries in the region (0.96). At the peak of restrictions (June 2020-August 2021), the average HRQoL decreased to 0.87 (-9%). At the time of survey (May 2022), the average HQRoL was 0.91 (4%). Assuming the recovery trend continued, pre-pandemic HRQoLs would be reached by January 2024. Altogether, the pandemic would have reduced QALYs by 0.2 in average. The effect is larger and the recovery slower among women. Our estimates imply that the restrictions to manage the pandemic came at a cost of 2.4 months of life years for the average (surviving) person, 1.8 months for men and 3.4 for women. Our results suggest that COVID-19 had worse effects on life quality than previously thought. These effects are more significant among women than among men. Efforts to improve life quality and speed up its recovery could have large positive consequences for the population.

Are Private Prisons Intrinsically Wrong? An Analysis

Several critics have argued that private prisons are not only problematic because of their worse effects but also intrinsically wrong. This article analyzes two prominent arguments for this claim: the representation argument and the condemnation argument. The conclusion is that these arguments fail to show that there is something intrinsically wrong about private prisons. This is especially true if the arguments are extended to non-profit private prisons under social injustice contexts that states are responsible for. In such cases, non-profit private prisons might not only be on a par with public prisons but be preferable to them. However, the arguments are also insufficient to oppose every conceivable for-profit private prison.

THE MEDIATING ROLE OF INFORMATION LEAKAGE ON THE RELATIONSHIP BETWEEN SUPPLY CHAIN INFORMATION INTEGRATION AND OPERATIONAL PERFORMANCE

This existing study aimed at investigating indirect effects of leakage of information on supply chain and operational performance. Nature of this study is quantitative and nature of data was cross-sectional. Primary data was collected through questionnaire. Population of this study comprised of organizations’ directors, managers. Snow ball sampling technique was used to select sample. Total 250 questionnaires were distributed and total 152 questionnaires were received which were then used in the analysis of data inSPSS. The response rate was 60.8%. Cronbach alpha and exploratory factor analysis (EFA) was used to test reliability and validity of the questionnaire. Mediation analysis was run in process file using resample rate of 5000 bootstrapping at 95% confidence interval. Cronbach alpha and factors loadings met the threshold. Information leakage mediated between supply chain and operational performance. It was also evident from the indirect effects that information leak could have worse effects on supply chain and operational performance. It is concluded that leak of information whether intentional or accidental both have effect on operational performance. It is therefore mandatory for professionals to take great care while dealing with supply chain partners so that it may not affect their performance. Managers have to raise awareness to secure the information confidential and to maintain secrecy. Doors for further research are open for professionals, scholars and academicians. They may add other variables in this model and extend the body of knowledge of supply chain, operational performance and leak of information.

The Impact of Coronavirus-2019 On General Health Anxiety Among Students of Iranian Medical Sciences

Background: During the Coronavirus 2019 (COVID-19) outbreak, Iranian medical sciences students were at higher risk of contracting this virus because they were in infected environments. So, they are predisposed to high levels of anxiety that could worsen their lives. The determent of factors and levels of anxiety could be helpful to reduce anxiety and control its worse effects. Hence, this study aimed to measure the anxiety index and its factors among medical sciences students during the COVID-19 pandemic in Iran. Materials and Methods: In this cross-sectional study, an online survey was sent to students from 27 medical sciences universities in Iran from 20th December 2020 to 10th March 2021. The online survey consists of the Health Anxiety Inventory (HAI) for measured general health anxiety as well as the baseline characteristics of students. Results: 723 students responded, including 483 (66.8%) females and mean HAI score was 16.76 ± 8.35. Based on our findings, gender, past medical, and drug history were significantly related to the high level of anxiety. However, there was no coloration between HAI scores with age, the field of study, study duration, university location, and attendance in the hospital and/or COVID-19 ward (P˃0.05). Conclusions: Students with notable past medical history and/or drug history and female students more than others were predisposed to anxiety in a pandemic such as COVID-19. Hence, in a pandemic situation, psychological care should concern them.

Epilepsy care delivery during COVID-19 in resource-limited countries: A survey in collaboration with International Epilepsy Equity Group

BackgroundThe impact of pandemic has had worse effects in countries with already stretched healthcare resources. study’s The study aimed to explore changes in epilepsy care delivery in resource-limited countries during and since the acute phase of the COVID-19 pandemic. MethodA cross-sectional survey was conducted in 22 countries among healthcare providers (HCPs) caring for persons with epilepsy (PWE), in collaboration with newly formed global collaborators, the International Epilepsy Equity Group. Findings were compared based on the World Bank Ranking (WBR) and HCPs’ practice type. Data were analyzed using Chi-square tests (α = 0.05) and pairwise multiple comparisons with α = 0.017 (Bonferroni adjustment). Open-ended responses were analyzed using thematic analysis. FindingsA total of 241 HCPs participated in the study. Of these, 8.30%, 65.98%, and 21.99% were from high-income (HIC), upper-middle-income (UMIC), and lower-middle-income countries (LMICs), respectively. Among HCPs, 31.12% were adult specialists, and 43.98% were pediatric specialists. During the acute phase of the pandemic, HCPs reported that the major barrier for PWE was difficulty reaching physicians/healthcare providers. Except for difficulty reaching physicians/healthcare providers (WBR P = 0.01 HIC < LMIC), no other significant differences in barriers during the acute phase were observed. Since the acute phase of the pandemic, the major concern for PWE was fear of getting infected with the SARS-CoV-2 virus. Significant differences in concerns since the acute phase included lockdowns (WBR: P = 0.03 UMIC < LMIC), fiscal difficulties (WBR: P < 0.001 UMICs < LMICs, UMICs < HIC; practice type: P = 0.006 adult < others, pediatrics < others), clinic closure (WBR: P = 0.003 UMIC < HIC; practice type: P =< 0.001 adult < others, pediatric < others), and long waiting times (WBR: P = 0.005, LMIC < UMIC, LMIC < HIC; practice type: P = 0.006 pediatric < adults). Diagnostic services, including EEG, MRI, CT (practice type: P < 0.001, adult < others; pediatric < others), and lab work (WBR: P = 0.01 UMIC < HIC), were restricted. The telephone was the most reported teleconsultation method used. Except for SMS/texting (WBR P = 0.02 UMIC < LMIC), there were no significant differences in teleconsultation methods used. DiscussionThere is a high probability that the initial wave and consequent reduction of in-person care, restriction of health services, and fiscal difficulties affecting all involved in care delivery, led to the disruption of epilepsy care. Additional support are needed in resource-limited countries to cope with future pandemics.

Impact of government policy responses of COVID-19 pandemic on stock market liquidity for Australian companies.

This study investigates the impact of government policy responses of COVID‐19 pandemic on stock market liquidity for listed Australian companies and for 11 different industries separately. A quantitative deductive approach is used for a sample of 1,452 companies with a total of 292,164 firm‐day observations over a period from January 25, 2020 to December 31, 2020 during the outbreak of COVID‐19. Univariate and multivariate (two‐way cluster‐robust panel regression) analysis were conducted. Data were collected from the Oxford COVID‐19 Government Response Tracker, Worldmeter, Refinitiv Workspace and Datastream. Our findings indicate that the influences of the six out of seven stringency policy responses reduced Australian equity market liquidity. However, public information campaigns enhanced market liquidity and hence trading activity. Among the 11 industries, our analysis shows that the non‐pharmaceutical interventions by the Australian government have significant and positive effects on four industries: Consumer non‐cyclicals, healthcare, financial and technology. However, the worse effects were depicted in the industrial (transportation) and energy industries. This study is important for investors, policymakers and regulators to understand the diverse effects of government policy responses of COVID‐19 on stock market liquidity to enhance financial stability. Moreover, understanding this effect is particularly important to decision‐makers such as portfolio and fund managers to manage their portfolios and trading activities during extreme turbulence times, such as COVID‐19. Unlike previous studies that focus on country analysis, this study examines on firm basis the impact of government interventions on stock market liquidity in a well developed Australian stock market.

Effects of Different Concentrations of Micro-Nano Bubbles on Grain Yield and Nitrogen Absorption and Utilization of Double Cropping Rice in South China

Micro-nano bubble (MNB) irrigation can effectively improve the hypoxia stress caused by conventional irrigation and shows great potential in plant development, yield improvement, and saving of water and fertilizer, and has been recognized as a new and high-efficiency technology in crop planting. However, former research on MNB concentration had no clear segmentation, and other MNB concentrations can achieve better or worse effects. This remains to be further explored in order to explore the optimal concentration of MNBs for the yield and nitrogen absorption and utilization of the double cropping rice. With early rice Ganxin203 and late rice WufengyouT025 as the experimental cultivars, the effects of MNBs on growth, yield, and nitrogen absorption and utilization of the potted double cropping rice were analyzed by setting three concentrations of MNBs (LM, low concentration; MM, middle concentration; HM, high concentration), compared with the ordinary running water (CK). Compared with CK, grain yield of the early rice under the MNB treatment increased by 4.84~10.95% and the late rice increased by 6.10~14.31%. It was found that the higher the concentration of the MNBs, the higher the yield of the rice. This is due to that the MNBs improved the tiller-bearing rate, increased the SPAD and Pn values of the flag leaves in the whole growth period, slowed down the drop of the leaf SPAD and Pn from heading stage to maturity, increased the number of the adventitious roots, improved the α-NA oxidation of the root, and simultaneously promoted the nitrogen accumulation, absorption, and utilization. The HM treatment obtained the best benefits, and the effect of the MNBs on the late rice was better than the early rice.

Does HbA1c Influence the Relationship between Stress and Cognition? Findings from the VA Normative Aging Study

Type 2 diabetes has increased in prevalence globally, with potential adverse effects on cognition. Both high levels of hemoglobin A1c (HbA1c) and stressful life events (SLEs) are associated with impaired cognitive performance, but few studies have examined their synergistic effects. The present study examined direct effects of stress and HbA1c on several cognitive outcomes, and whether HbA1c moderated the relationship between SLEs and cognition. Utilizing a sample of 527 older men from the VA Normative Aging Study (Mage = 74.3, SD = 6.5), stress was inversely related to MMSE, verbal fluency, and pattern recognition; HbA1c was only inversely associated with MMSE. The moderation model was supported only for pattern recognition (β = 1.64, p < .05), with stress having worse effects in those high in HbA1c. Stratifying analyses by age group (<75, 75+) showed that stress predicted cognition only in the young-old, while HbA1c was inversely related to cognition only in old-old participants. Further, these age-group analyses yielded different effects of demographics on cognition. In the young-old, age was consistently inversely related to all cognitive outcomes, but in the old-old only with MMSE and word list recall. Among the young-old, education was associated with only word list recall but improved performance for most scales among the old-old. Finally, HbA1c intensified the effect of stress moderation on verbal fluency only in old-old (β = 2.78, p < .05). In summary, stress was more important for cognition in the young-old, while education and health status were more important in the old-old.

Minimally invasive treatments for benign prostatic hyperplasia: a Cochrane network meta-analysis.

To assess the comparative effectiveness and ranking of minimally invasive treatments (MITs) for lower urinary tract symptoms (LUTS) in men with benign prostatic hyperplasia (BPH). We searched multiple databases up to 24 February 2021. We included randomized controlled trials assessing the following treatments: convective radiofrequency water vapour thermal therapy (WVTT; or Rezūm); prostatic arterial embolization (PAE); prostatic urethral lift (PUL; or Urolift); temporary implantable nitinol device (TIND); and transurethral microwave thermotherapy (TUMT) compared to transurethral resection of the prostate (TURP) or sham surgery. We performed a frequentist network meta-analysis. We included 27 trials involving 3017 men. The overall certainty of the evidence of most outcomes according to GRADE was low to very low. Compared to TURP, we found that PUL and PAE may result in little to no difference in urological symptoms, while WVTT, TUMT and TIND may result in worse urological symptoms. MITs may result in little to no difference in quality of life, compared to TURP. MITs may result in a large reduction in major adverse events compared to TURP. We were uncertain about the effects of PAE and PUL on retreatment compared to TURP, however, TUMT may result in higher retreatment rates. We were very uncertain of the effects of MITs on erectile function and ejaculatory function. Among MITs, PUL and PAE had the highest likelihood of being the most efficacious for urinary symptoms and quality of life, TUMT for major adverse events, WVTT and TIND for erectile function and PUL for ejaculatory function. Excluding WVTT and TIND, for which there were only studies with short-term (3-month) follow-up, PUL had the highest likelihood of being the most efficacious for retreatment. Minimally invasive treatments may result in similar or worse effects concerning urinary symptoms and quality of life compared to TURP at short-term follow-up.

Minimally invasive treatments for lower urinary tract symptoms in men with benign prostatic hyperplasia: a network meta-analysis.

Minimally invasive treatments for lower urinary tract symptoms in men with benign prostatic hyperplasia: a network meta-analysis.

PATTERN AND PREDICTORS OF SUBSTANCE USE AMONG IN-SCHOOL ADOLESCENTS: A COMPARISON OF PUBLIC AND PRIVATE SECONDARY SCHOOLS IN GOMBE LGA, GOMBE STATE, NIGERIA.

Background: Substance use is a Public Health problem with significant negative consequences on the physical, psychological and mental health of individuals with worse effects among adolescents. The objective of this study was to determine and compare the pattern and predictors of substance use among in-school adolescents in Public and Private secondary schools in Gombe LGA, Gombe State. Methods: It was a comparative cross-sectional study. Multistage sampling technique was used to select participants from both comparison groups. Data was collected using a pretested self-administered questionnaire. All data generated were collated and analysed using the IBM Statistical Package for Social Sciences (SPSS) version 23. Results: The proportion of students engaged in substance use were 17.9% and 18.9% in private and public secondary schools respectively, this was not statistically significantly different (P-value 0.830). There was a statistically significant difference in the level of health risk associated with substance use among respondent in public and private schools (P value 0.008). Furthermore, respondents in public schools who almost never participated in religious activities and those who occasionally participated in religious activities had 4.2 and 3.5 times more odds respectively of using substances compared to those who almost always participated in religious activities p value 0.007 (CI 1.497-12.008) and p value 0.008 (CI 1.398-9.183) respectively. In both schools, those who had friends that used substances were more likely to use them p value &lt;0.001(OR 0.99; CI 0.039-0.232) for private and p value &lt;0.001 (OR 0.108; CI 0.048-0.245) for public schools. Conclusion: This study has therefore implied that there is no difference in the proportion and pattern of substance use by adolescents in both private and public secondary schools, however, the level of health risk is more among those in private schools.

Optimization of Power Generation Grids: A Case of Study in Eastern Mexico

Optimization of energy resources is a priority issue for our society. An improper imbalance between demand and power generation can lead to inefficient use of installed capacity, waste of fuels, worse effects on the environment, and higher costs. This paper presents the preliminary results of a study of seventeen interconnected power generation plants situated in eastern Mexico. The aim of the research is to apply a linear programming model to find the system-optimal solution by minimizing operating costs for this grid of power plants. The calculations were made taking into account the actual parameters of each plant; the demand and production of energy were analyzed in four time periods of 6 h during a day. The results show the cost-optimal configuration of the current power infrastructure obtained from a simple implementation model in MATLAB® software. The contribution of this paper is to adapt a lineal progamming model for an electrical distribution network formed with different types of power generation technology. The study shows that fossil fuel plants, besides emitting greenhouse gases that affect human health and the environment, incur maintenance expenses even without operation. The results are a helpful instrument for decision-making regarding the rational use of available installed capacity.

Efficacy of a food supplement Lertal\xae as an adjuvant therapy of patients with moderate-to-severe seasonal allergic rhinoconjunctivitis

BackgroundLertal® is an oral food supplement containing 80 mg of dry extract of Perilla frutescens, 150 mg of bioflavonoid quercetin, and 5 μg of vitamin D3. The aim of this study was to evaluate the efficacy of Lertal® as a complementary therapy to topical therapy of patients with moderate-to-severe seasonal allergic rhinoconjunctivitis (SAR).ResultsSeventy (n=70) adult patients with moderate-to-severe SAR were included in this prospective study and treated by four different procedures: (1) 21 patients received azelastine intranasal spray for 30 days and, after that, azelastine spray and Lertal® tablets for the next 30 days; (2) 19 patients received combined azelastine with fluticasone intranasal spray for 30 days and azelastine with fluticasone spray and Lertal® tablets for the next 30 days; (3) 15 patients received azelastine spray only for 60 days; (4) 15 patients received combined azelastine with fluticasone spray only for 60 days. Levels of SAR symptoms (sneezing, tearing, ocular itching, rhinorrhea, nasal obstruction, hyposmia, and cough), as well as Total Symptom Scores (TSS), were evaluated at the start of this investigation (visit 0), after 30 days of treatment (visit 1), and after 60 days of treatment (visit 2) using a visual analog scale. After 30 days of treatment, better effects were achieved in groups in which patients were treated with combined (antihistamine with corticosteroid) spray. After 60 days of therapy, we found the best effects in procedure 2 and slightly worse effects in procedure 1. The high differences in the reduction of TSS between the 60th and 30th day were found for procedure 2 (p<0.001) and procedure 1 (p<0.001). The worse improvement of symptoms we found was in procedure 4 (p<0.01), and, for the procedure 3, we found no significant difference (p=0.140). None of the patients reported adverse effects during the therapy.ConclusionOur results suggest that addition of food supplement Lertal® to the standard topical therapy of patients with moderate-to-severe SAR increases the effects of intranasal therapy in reducing nasal and ocular symptoms.

AN EXPLORATORY STUDY TOWARDS APPLYING AND DEMYSTIFYING DEEP LEARNING CLASSIFICATION ON BEHAVIORAL BIG DATA

The superior performance of deep learning (DL) in natural language processing and machine vision and has ignited renewed interest in applying these technologies more broadly in research and practice. This study looks at how deep learning approaches can be used in the classification of large volumes of sparse behavioral data, which in the age of big data is becoming increasingly common. The excellent performance of deep learning algorithms in tasks such as classification and natural language processing has attracted the interest of both academics and professionals of these algorithms [1]. Since then, many researchers have tried, in the expectation of achieving comparable superior outcomes, to extend these algorithms to other machine learning situations with various data types. The above-mentioned study is based on inspiration and correlates the predictive performance of deep learning classification techniques with several behavioral examples. In addition to the usage of new data categories and a thorough comparison of its outputs with widespread classifications, this study seeks to highlight where and why the approaches to deep learning perform best. It demonstrates that an uncontrolled pre-training process does not improve classification efficiency and that tanh nonlinearity delivers the best predictive results by utilizing profound knowledge about this specific data sort. Deep learning achieves results that are equal or equivalent to traditional low classifiers as it is applied to massive behavioral data sets [1]. However, the findings have not changed much. Looking at how well deep learning performs; it finds that data sets with low signal-to-noise separation had the worse effects. We examine the significance of the clustered, hierarchical characteristic of the learning process to learn why deep learning usually works well on this kind of data. In contrast to superficial classifiers, neurons in the distributed model are more complex in certain behavioral functions [1]. Deep learning classification is also referred to as a black-box technique, and this article addresses how to determine whether and when these strategies perform well. Keywords: Deep learning, Behavioral big data, Neural Convolutional Networks, Feed-Forward Neural Networks

Effect of alendronate on the femoral metaphyseal defect under carbamazepine in ovariectomized rats

BackgroundThe use of antiepileptic drugs and estrogen deficiency put forward higher requirements for bone defect regeneration. The present study investigated the effects of alendronate (ALN) on femoral bone defect in ovariectomized (OVX) rats under the influence of carbamazepine (CBZ).MethodsOne hundred female SD rats at 3 months of age were either sham-operated or OVX and divided into four groups: sham control (CON); OVX control (OVX); ovariectomized rats treated with CBZ via gavage (75 mg/kg/day; CBZ); ovariectomized rats treated with CBZ plus ALN (2 mg/kg/day; CBZ-ALN). A critical-sized femoral metaphyseal bone defect was established in all female SD rats. Animals from the CBZ and CBZ-ALN groups received drugs by gavage the day after bone defect surgery was performed. After the rats were sacrificed, the defected area located in the distal femur was harvested for evaluation by microcomputed tomography (micro-CT), hematoxylin and eosin (HE) staining, and Masson’s trichrome staining. The samples were also analyzed by biomechanics and immunohistochemical evaluation (IHC). Besides, biochemical analysis evaluates all serum samples.ResultsThe present study showed that ovariectomy changed the microstructural parameters of bone. The use of CBZ further decreased femur bone mass while treatment with ALN prevented bone loss. Compared to OVX and CBZ groups, CBZ-ALN group promoted bone neoformation and enhanced the ultimate load of the femur bone. However, the group of CBZ-ALN did not return to normal levels compared with the CON group. Besides, we noticed that CBZ-ALN group reduced tartrate-resistant acid phosphatase-5b (Tracp-5b) expression and had no significant effect on the expression of osteocalcin (OCN) and type I collagen (Col-I) in IHC compared with CBZ group. Biochemical analysis results presented that systemic delivery of CBZ showed pernicious effects on bone formation and resorption in ovariectomized rats, with the worse effects on C-terminal crosslinked telopeptide of type I collagen (CTX-1). Besides, a significant decrease in CTX-1 levels was observed in CBZ-ALN group as compared to the group of CBZ.ConclusionThese results demonstrated that ALN can effectively reverse the effects of CBZ on the microarchitectural properties of bone, and thus can have a positive effect on local bone neoformation in rats with osteoporosis.Clinical relevanceThe dose of 2 mg/kg ALN improves the negative effect of prescription of CBZ at 75 mg/kg and promotes bone neoformation of femoral bony deficits.

Real Time Emotion Classification Based on Convolution Neural Network and Facial Feature

Health problems due to emotion disorder should not be taken lightly because they have worse effects on health. Emotion disorder leads to prolonged stress and causes mental fatigue. Therefore, emotions need to be classified as early as possible. This classification result can be utilized to determine a person’s emotion and treatments required. In this paper, we proposed emotion classifier based on facial features. Here, we used Convolution Neural Network (CNN) to extract facial features from input images and classify them into 7 basic emotions: angry, sad, happy, neutral, fear, disgust, and surprise. Dept-wise separable convolution is applied, instead of the ordinary convolution in CNN, to reduce the number of trainable parameters so that the overall architecture of CNN can be made as simple as possible without compromising the accuracy. The simple architecture of the CNN allows us to make it work in real time. Our proposed method achieves an accuracy of 66% on 3.589 input images of FER2013 data set.

Karakteristik Menstruasi , Kadar Kolesterol Dan Lemak Visceral Pada Remaja Obesitas

Obesity is a crucial health issue for women of reproductive age that resulted in worse effects. This condition associate with irregular menstrual cycles. This study aimed to determine the characteristics of menstruation (cycle and duration), cholesterol, and visceral fat levels of obese adolescents in SMAN 6 Kota Pematangsiantar. This research was descriptive, conducted on 52 adolescent girls who have experienced menstruation for more than one year since their first menstruation with obesity condition. Held in May - November 2017, all data presented in the form of descriptive analysis. Measurement of obesity and visceral fat levels were measured using the Karada Scan HBF-375, menstrual data obtained using a questionnaire, cholesterol levels using Easy touch GCU. The length of menstruation less than three days was 53.8%, irregular menstrual cycles were 61.5%, normal cholesterol levels were 51.9%, normal visceral fat levels were 50%. Counseling adolescents about obesity prevention for reproductive health and further research on the relationship between cholesterol and visceral fat levels with the menstrual cycle diet on levels is needed.

Parathyroid hormone (1-34) can reverse the negative effect of valproic acid on the osseointegration of titanium rods in ovariectomized rats.

ObjectiveThe present work was aimed to evaluate the effect of valproic acid (VPA)，Parathyroid hormone (1–34) (PTH)+VPA on Ti rods osseointegration in ovariectomized rats and further investigation of the possible mechanism.MethodsThe MC3T3-E1 cells were co-cultured with VPA，PTH ​+ ​VPA and induced to osteogenesis, and the cell viability，mineralization ability were observed by MTT and ALP staining，Alizarin Red staining and Western blotting. Twelve weeks after bilateral ovariectomy, all animals were randomly divided into four groups: group OVX and VPA，PTH ​+ ​VPA, and all the rats received Ti implants and animals belong to group VPA，PTH ​+ ​VPA received valproic acid (300 ​mg/day), valproic acid (300 ​mg/day) plus Parathyroid hormone (1–34) every 3 days (60 ​μg/kg), respectively, treatment until death at 12 weeks. Micro-CT, histology, biomechanical testing, bone metabolism index and Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis were used to observe the therapeutic effect and explore the possible mechanism.ResultsResults shown that VPA decreased new bone formation around the surface of titanium rods and push-out force other than group OVX. Histology, Micro-CT and biochemical analysis results showed combined application of systemic VPA showed harmful effects than OVX group on bone formation in osteopenia rats, with the worse effects on CTX-1, P1NP and microarchitecture as well as biomechanical parameters by down-regulated gene expression of Runx2, OCN, Smad1, BMP-2 and OPG, while up-regulated RANKL. However, after PTH treatment, the above indicators were significantly improved.ConclusionsThe present study suggests that systemic use of VPA may bring harm to the stability of titanium implants in osteoporosis, PTH can reverse the negative effect of VPA on the osseointegration of titanium rods in ovariectomized rats.Translational potential of this articleAccording to our research, when patients with epilepsy have osteoporotic fractures, after joint replacement or internal fixation, continue to use sodium valproate for anti-epileptic therapy, the possibility of postoperative loosening increases, again on the basis of It can be reversed with the anti-osteoporosis drug parathyroid hormone (1-34).

Low Cost Automated Hand Sanitizer Provider to Prevent Novel Corona Virus

COVID-19 is an epidemic that has been multiplying rapidly across the globe To order to regulate its growth, several nations have implemented home-stay or lockout policies Prolonged domestic residency, though, can cause worse effects such as economic instability, homelessness, food shortages and individuals' mental health issues This article presents an intelligent consumer electronics solution for secure & gradual launch after residence restrictions have been lifted Completely automatic hand sanitizer supplier to prevent quickly spreading novel corona virus It is implemented to restrict the development of new positive cases through auto touch tracking and by promoting critical social distancing