Effects of Monopotassium-phosphate, Nano-calcium fertilizer, Acetyl salicylic acid and Glycinebetaine application on growth and production of tomato (Solanum lycopersicum) crop under salt stress

ArticleSalinity problem is increasingly affecting tomato production in Lebanon leading to economic losses. The study investigated the potential effects of nano - Calcium (LITHOVIT®), monopotassium - phosphate (MKP: 0 - 52 - 34) fertilizers, Acetyl salicylic aci d (Aspirin) and the osmoregulator glycinebetaine (GB) on salt tolerance of potted determinate tomato (variety Sila) plants in open - field. Salt stress was induced by irrigation solutions of EC = 2, 4, 6, 8 and 10 mS cm - 1 and MKP (2, 3 and 3.5 g L - 1 ), Aspirin (50, 75 and 100 mg L - 1 ), LITHOVIT® (0.5, 0.75 and 1 g L - 1 ) and GB (4.5, 6 and 7.5 g L - 1 ) were applied through foliar application or fertigation. Comparisons between treated and non - treated plants at each salinity level (control) showed that LITHOVI T® decreased the salinity - induced reductions in stem diameter, leaf area and chlorophyll content. Medium concentrations of LITHOVIT® and Aspirin improved stem diameter and all products except Glycinebetaine improved flower number compared to control. Root dry weight and Root Mass Fraction were mostly enhanced in MKP and Aspirin - treated plants. Best improvement in plant yield (76%) was obtained with low concentrations of MKP and LITHOVIT® at EC = 8 mS cm - 1 due to improvement in fruit number rather than fruit weight. Consequently, LITHOVIT® and MKP showed superior effects under salt stress compared to Aspirin and Glycinebtaine

Integrating Coding and Artificial Intelligence in English Language Teaching: A Study at Cihan University-Duhok

Coding and language acquisition are highly valued in the present world, not only in the educational system but also in daily life and earning a living. In terms of Artificial intelligence (AI), Machine Learning, Deep Learning, etc., coding is becoming more and more integrated into daily life. Applying coding to increase the visualization of English learning by smart systems employing AI in the classroom, in the context of English Language Teaching (ELT), may have a significant influence on how students learn. Any civilization needs language to facilitate social interaction because it allows people to communicate their ideas, opinions, and feelings to others while also advancing their knowledge. English is a language that everyone may use to communicate with one another. As a result of the growing tendency of linguistic globalization, bilingualism is becoming a fairly common phenomenon in today\u27s world. This paper will investigate the potential effects of coding on undergraduate students\u27 academic performance and English language comprehension. It tries to assess both levels of learning English and vocabulary by coding using the survey data by SPSS. Additionally, it will make an effort to link the teacher\u27s study level and outside-the-classroom teaching methods. A thorough literature review has been done and a research gap has been found. Then for the study, 60 undergraduate students from the Department of English, Cihan University- Duhok were chosen, and they were requested to take a pre-test to gauge their level of English proficiency. Additionally, the faculty were picked to gauge how easy it was for the students to grasp the language. After introducing coding and smart systems into the learning process, a post-test was conducted, and the outcomes were evaluated. The AI and smart system in the ELT can enhance the way and interest of learning. This study has led to the conclusion that coding can be added to ELT to enhance learning

Left-Right Symmetry and Supersymmetric Unification

The existence of an SU(3) X SU(2)_L X SU(2)_R X U(1) gauge symmetry with g_L = g_R at the TeV energy scale is shown to be consistent with supersymmetric SO(10) grand unification at around 1O^{16} GeV if certain new particles are assumed. The additional imposition of a discrete Z_2 symmetry leads to a generalized definition of R parity as well as highly suppressed Majorana neutrino masses. Another model based on SO(10) X SO(10) is also discussed.Comment: 11 pages, 2 figures not included, UCRHEP-T124, Apr 199

Vitamin D Level in Relation to Depression Symptoms During Adolescence

BACKGROUND: This study aimed to investigate the association between 25-hydroxyvitamin D (25(OH)D) and depression symptoms among adolescents in Kuwait, a country with a high prevalence of vitamin D deficiency. METHODS: A school based cross-sectional study was conducted on randomly selected 704 adolescents in middle schools. Data on depression symptoms were collected using the Children\u27s Depression Inventory (CDI). Data on covariates were collected from the parents by self-administered questionnaire and from adolescents by face-to-face interview. Blood samples were analyzed in an accredited laboratory; and 25(OH)D was measured using liquid chromatography-tandem mass spectrometry. RESULTS: Of 704 adolescents, 94 (13.35%; 95%CI:10.35-17.06%) had depression symptom (a score of 19 or more on the CDI). There was no significant difference in the median CDI score between different vitamin D status (p = 0.366). There was also no significant correlation between serum 25(OH)D concentration and CDI score (Spearman\u27s rank correlation = 0.01; p = 0.825).There was no significant association between 25(OH)D and depression symptoms whether 25(OH)D was fitted as a continuous variable (crude odds ratio (OR) 0 .99 [95%CI: 0.98, 1.01], p = 0.458 and adjusted OR 1.01 [95%CI: 0.99, 1.02], p = 0.233), categorical variable as per acceptable cut-of points (crude analysis p = 0.376 and adjusted analysis p = 0.736), or categorical variable as quartiles (crude analysis p = 0.760 and adjusted analysis p = 0.549). CONCLUSION: Vitamin D status does not seem to be associated with depression symptoms among adolescents in our setting. Nevertheless, it is important to have sufficient vitamin D levels during adolescence for several other health benefits

Analyzing Relationships Between Economic and Neighborhood-Related Social Determinants of Health and Intensive Care Unit Length of Stay for Critically Ill Children With Medical Complexity Presenting With Severe Sepsis

OBJECTIVES: Of the Social Determinants of Health (SDoH), we evaluated socioeconomic and neighborhood-related factors which may affect children with medical complexity (CMC) admitted to a Pediatric Intensive Care Unit (PICU) in Shelby County, Tennessee with severe sepsis and their association with PICU length of stay (LOS). We hypothesized that census tract-level socioeconomic and neighborhood factors were associated with prolonged PICU LOS in CMC admitted with severe sepsis in the underserved community. METHODS: This single-center retrospective observational study included CMC living in Shelby County, Tennessee admitted to the ICU with severe sepsis over an 18-month period. Severe sepsis CMC patients were identified using an existing algorithm incorporated into the electronic medical record at a freestanding children\u27s hospital. SDoH information was collected and analyzed using patient records and publicly available census-tract level data, with ICU length of stay as the primary outcome. RESULTS: 83 encounters representing 73 patients were included in the analysis. The median PICU LOS was 9.04 days (IQR 3.99-20.35). The population was 53% male with a median age of 4.1 years (IQR 1.96-12.02). There were 57 Black/African American patients (68.7%) and 85.5% had public insurance. Based on census tract-level data, about half (49.4%) of the CMC severe sepsis population lived in census tracts classified as suffering from high social vulnerability. There were no statistically significant relationships between any socioeconomic and neighborhood level factors and PICU LOS. CONCLUSION: Pediatric CMC severe sepsis patients admitted to the PICU do not have prolonged lengths of ICU stay related to socioeconomic and neighborhood-level SDoH at our center. A larger sample with the use of individual-level screening would need to be evaluated for associations between social determinants of health and PICU outcomes of these patients

Histopathological Changes of the Flaxseed Extract on Skin Wound Healing in Diabetic Rabbits

BACKGROUND: Wound healing includes phases such as cell migration, extracellular matrix deposition, remodeling, and angiogenesis. There are growing medicines that accelerate wound healing, significantly herbal medications that mainly safe and reliable. AIM: The aim of the study is to examine the histological changes induced by flaxseed oil during wound healing in diabetic animal model. METHODS: Forty-five male white New Zealand rabbits divided into two main groups diabetic and non-diabetic each group is divided into three groups (n = 9).Diabetic animal group include: (1) Study group (adding Flaxseed), (2) positive control group (adding fucidin 2% cream), and (3) negative control group (no treatment) same distribution of non-diabetic animals groups. Four linearshape,full-thickness wounds were made in both sides of the backbone skin in each animal. Tissue samples were obtained at days 4th, 7th, and 14th post wounding for microscopical analysis, histopathological parameters included inflammation, re-epithelialization, neovascularization, and surface closure rates. RESULTS: The study groups (using flax seed) in both diabetic and non-diabetic groups show significant reduction in inflammatory cells infiltration at day 14 (0.67 ± 0.753) (1.67 ± 0.516), and noticeable increase in wound closure rate (4.00+-0.000). Both diabetic and non-diabetic animal groups show high re-epithelialization potential at day 4 and day 7, respectively (2.00 ± 1.549; 4.00 ± 0.00). Diabetic animal study group using flaxseed shows high neovascularization rate at the day 14 (2.17 ± 0.753) compared with positive control diabetic animal group (2.00 ± 0.000). CONCLUSION: Topical application of flaxseed promoted healing process particularly in diabetic animal model by shortening inflammation phase, elevating surface closure rate, promoting re-epithelialization process, and enhancing neovascularization, flaxseed is suggested as a potential effective herbal base medication for facilitating wound healing

Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects?

BACKGROUND: Changes in cannabis regulation globally make it increasingly important to determine what predicts an individual's risk of experiencing adverse drug effects. Relevant studies have used diverse self-report measures of cannabis use, and few include multiple biological measures. Here we aimed to determine which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like symptoms. METHOD: In a naturalistic study, 410 young cannabis users were assessed once when intoxicated with their own cannabis and once when drug-free in counterbalanced order. Biological measures of cannabinoids [(Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), cannabinol (CBN) and their metabolites)] were derived from three samples: each participant's own cannabis (THC, CBD), a sample of their hair (THC, THC-OH, THC-COOH, CBN, CBD) and their urine (THC-COOH/creatinine). Comprehensive self-report measures were also obtained. Self-reported and clinician-rated assessments were taken for cannabis dependency [Severity of Dependence Scale (SDS), DSM-IV-TR] and acute psychotic-like symptoms [Psychotomimetic State Inventory (PSI) and Brief Psychiatric Rating Scale (BPRS)]. RESULTS: Cannabis dependency was positively associated with days per month of cannabis use on both measures, and with urinary THC-COOH/creatinine for the SDS. Acute psychotic-like symptoms were positively associated with age of first cannabis use and negatively with urinary THC-COOH/creatinine; no predictors emerged for BPRS. CONCLUSIONS: Levels of THC exposure are positively associated with both cannabis dependency and tolerance to the acute psychotic-like effects of cannabis. Combining urinary and self-report assessments (use frequency; age first used) enhances the measurement of cannabis use and its association with adverse outcomes

Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects?

This is the final version. Available from the publisher via the DOI in this record.BACKGROUND: Changes in cannabis regulation globally make it increasingly important to determine what predicts an individual's risk of experiencing adverse drug effects. Relevant studies have used diverse self-report measures of cannabis use, and few include multiple biological measures. Here we aimed to determine which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like symptoms. METHOD: In a naturalistic study, 410 young cannabis users were assessed once when intoxicated with their own cannabis and once when drug-free in counterbalanced order. Biological measures of cannabinoids [(Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), cannabinol (CBN) and their metabolites)] were derived from three samples: each participant's own cannabis (THC, CBD), a sample of their hair (THC, THC-OH, THC-COOH, CBN, CBD) and their urine (THC-COOH/creatinine). Comprehensive self-report measures were also obtained. Self-reported and clinician-rated assessments were taken for cannabis dependency [Severity of Dependence Scale (SDS), DSM-IV-TR] and acute psychotic-like symptoms [Psychotomimetic State Inventory (PSI) and Brief Psychiatric Rating Scale (BPRS)]. RESULTS: Cannabis dependency was positively associated with days per month of cannabis use on both measures, and with urinary THC-COOH/creatinine for the SDS. Acute psychotic-like symptoms were positively associated with age of first cannabis use and negatively with urinary THC-COOH/creatinine; no predictors emerged for BPRS. CONCLUSIONS: Levels of THC exposure are positively associated with both cannabis dependency and tolerance to the acute psychotic-like effects of cannabis. Combining urinary and self-report assessments (use frequency; age first used) enhances the measurement of cannabis use and its association with adverse outcomes