Search

This study has been carried out to investigate the adverse effects of climate change on agriculture and its awareness among various stakeholders. This study aims to determine adverse effects and how the agriculture department of Naushahro Feroze District contributes to creating awareness among the stakeholders about the adverse effects of climate change on agriculture. This study uses a purposeful sample of 4 to 5 High-Rank officers and specialists of the Agriculture department were selected to collect the data. The qualitative Method was adopted using Interviews via Semi-structured open-ended questionnaires. The results show that bodies, Organizations, and Institutions working to mitigate losses are not properly aware of the recommendations by International Bodies. Moreover, there is no proper system for creating awareness.

This study provides a high-level overview of alternative energy sources that can be harnessed to power agricultural operations, focusing on renewable energy technologies. When thinking about the overall economy around the globe, agriculture is vital. Energy is required at each step of production, from fertilizer production to fueling tractors for planting and harvesting. The high energy prices and unpredictable energy market significantly affect the input energy costs. Energy efficiency methods, when properly applied, and the use of farm’s renewable energy sources could assist agricultural producers in saving energy-related costs. Renewable energy resources in the form of solar, biomass, wind, and geothermal energy are abundantly available in the agriculture sector. This review aims to explore renewable energy as an alternative energy source for efficient energy management in agriculture. It discusses the potential benefits, challenges, and opportunities associated with adopting renewable energy technologies in the agricultural sector. Our research adds value by presenting a comprehensive overview of alternative energy sources and their applicability in energy management. By highlighting the benefits and potential challenges associated with each option, we provide valuable insights for agricultural stakeholders and researchers aiming to transition toward sustainable energy practices in the sector. Better energy management is intertwined with problems that need a broader strategy than has so far been used. In a nutshell, transitioning to alternative energy sources for energy management in agriculture holds great promise for reducing greenhouse gas emissions, improving energy efficiency, and promoting sustainability in food production. However, successful implementation requires addressing technical, economic, and policy barriers while fostering knowledge dissemination and capacity building among farmers and stakeholders.

Making new materials to control heat transfer has always been of interest. Carbon-based nanomaterials are promising for heat transfer due to their excellent thermal properties. Coiled carbon nanotubes (CCNTs) are among artificial carbon nanostructures due to their special mechanical properties, including high stretchability and good thermal properties are often used in many applications such as making nanodevices or advanced nanocomposites. In this research, using the molecular dynamics simulation technique and non-equilibrium molecular dynamics method, the effect of hydrogen functionalization with hydrogenation percentages of 5, 15, and 30% on the thermal properties of spring nanotubes has been investigated. The results show that the thermal conductivity of CCNTs is strongly affected by functionalization. So that by functionalizing them by 5%, their thermal conductivity coefficient decreases by 50%. Also, unlike other carbon nanostructures, the thermal conductivity of CCNTs does not decrease with the increase in the degree of functionalization, so the coefficient of thermal conductivity of 30% hydrogenated CCNTs is higher than the hydrogenated samples with lower percentages

Abstract The current study determined the changes in Land Use/Land Change (LU/LC) and variation in land surface temperature (LST) in the Green Belt (Nasirabad district) area of Balochistan, Pakistan. To achieve this, we used GIS software (ArcMap 10.7.1) to analyze remote sensing data acquired from Landsat imagery taken in 1993, 2003, 2013, and 2023. A supervised classification technique using the maximum likelihood algorithm (MLC) was applied to generate a ground-truth LU/LC classification. Based on our findings, almost 415.28 km2 (− 12.89%) of formerly undeveloped land has been transformed into urban neighborhoods and green spaces during the last three decades. Between 1993 and 2023, the study area gained 288.29 km2 (8.94%) of vegetation and 136.10 km2 (4.22%) of settled land. Minimum, maximum, and average LST changes were recorded as 7.50, − 5.06, and 1.22 °C for the whole thirty years. Overall, the analysis data showed that an increase in human settlements in the area investigated led to a rise in mean LST (1.22 °C). Finally, GIS and RS may be used together to track land usage over time, a crucial piece of data for eco-friendly planning. While the LU/LC and LST provide valuable insights into the rational and optimal use of land resources, the implications of policy remain constrained.

Abstract Background Statins, metformin, and aspirin have been reported to reduce the incidence of hepatocellular carcinoma (HCC). However, the effect of their perioperative use on survival outcomes of HCC patients following curative liver resection still remains unclear. Method Three hundred and fifty three patients with a first diagnosis of HCC who underwent curative liver resection were included. Propensity score matching analysis with a users: nonusers ratio of 1:2 were performed for each of the medications (statins, metformin, and aspirin). Overall survival (OS) and recurrence‐free survival (RFS) were evaluated and multivariable Cox proportional hazard analysis was performed. Results Sixty two patients received statins, 48 patients used metformin, and 53 patients received aspirin for ≥90 days before surgery. None of the medications improved OS. RFS of statin users was significantly longer than that of nonusers (p = 0.021) in the matched cohort. Users of hydrophilic statins, but not lipophilic ones had a significantly longer RFS than nonusers. Multivariable analysis showed that statin use significantly improved RFS (hazard ratio [HR]: 0.41, 95% confidence interval [CI]: 0.17–0.97, p = 0.044). No difference was seen in RFS between metformin users and nonusers. Among patients with diabetes, RFS was nonsignificantly longer in metformin users than in non‐metformin users (84.1% vs. 60.85%, p = 0.069) in the matched cohort. No difference in postoperative RFS was seen between aspirin users and nonusers. Conclusion Preoperative use of statins in patients with HCC can increase RFS after curative liver resection, but metformin and aspirin were not associated with improved survival. Randomized controlled trials are needed to confirm the findings of the present study.

Abstract Objective Multiple sclerosis (MS) is a progressing neurodegenerative disease marked by chronic central nervous system inflammation and degeneration.This study investigates gene expression profiles of T-box transcription factor TBX21 (T-bet), interferon-gamma (IFN-γ), and long non-coding RNA MEG3 in peripheral blood mononuclear cells (PBMCs) from treatment-naïve Relapsing-Remitting Multiple Sclerosis patients (RRMS), healthy controls, and RRMS patients on different Disease Modifying Therapies (DMTs). The aim is to understand the role of T-bet, IFN-γ, and MEG3 in MS pathogenesis and their potential as diagnostic and therapeutic targets. Results Elevated T-bet expression is observed in treatment-naïve RRMS patients compared to healthy individuals. RRMS patients treated with Interferon beta-1alpha (IFNβ-1a) and fingolimod exhibit downregulated T-bet and MEG3 expression levels, respectively, with more pronounced effects in females. Healthy individuals show a moderate positive correlation between T-bet and MEG3 and between IFN-γ and T-bet. In RRMS patients treated with Glatiramer Acetate (GA), a strong positive correlation is observed between MEG3 and IFN-γ. Remarkably, RRMS patients treated with Dimethyl Fumarate (DMF) exhibit a significant positive correlation between T-bet and MEG3. These findings underscore the diagnostic potential of T-bet in RRMS, warranting further exploration of MEG3, T-bet, and IFN-γ interplay in RRMS patients.

Background: Ectopic pregnancy (EP) is defined as implantation and development of an embryo outside of the uterinetissue. Women undergoing assisted reproductive technologies (ART), particularly frozen embryo transfer (FET), arein high-risk populations for EP. Mucin1 (MUC1), fibroblast growth factor-2 (FGF2), and Heparin-binding epidermalgrowth factor (HBEGF) genes are involved in the endometrial receptivity pathway, leading to normal eutopic implantation;Although, their relevance in the tubal pregnancy after FET is unknown. We aimed evaluation of Mucin1, FGF2,and HBEGF expression fold as endometrial receptive markers in the EP patients following the FET cycle.Materials and Methods: A case-control study was conducted on ten patients (five EP patients and five women in thepseudo-pregnancy group, as the control samples). Pseudo-pregnancy group was established in women who were candidatesfor hysterectomy for benign diseases. Fallopian tube biopsies and corresponding endometrial tissues from thesepatients were taken during the hysterectomy. However, the fallopian tube and endometrial tissues of EP patients wereobtained during salpingectomy. The mRNA expressions of MUC1, FGF2, and HBEGF genes in the fallopian tube andendometrial tissues were measured by real-time polymerase chain reaction (PCR) assay.Results: MUC1 mRNA expression level in the endometrium of the case group was higher than in the control group(P=0.04); however, its mRNA expression in the fallopian samples of the case group in comparison with the control groupwas significantly decreased (P=0.001). The HBEGF mRNA expression level was not significantly different between thecase and control endometrium, whereas its expression was significantly increased in the case fallopian samples comparedwith the control ones (P=0.001). The same pattern was observed for FGF2 mRNA expression level in the fallopian samplesof the case group but was significantly reduced in the endometrial samples in comparison with the control samples (P=0.03).Conclusion: MUC1, FGF2, and HBEGF gene mRNA expression changes may explain the embryo rejection from theuterus and the establishment of a receptive phenotype in fallopian cells.

Waste management is one of the criteria for the evaluation of Green campus and sustainable university. Organic waste takes place in concern because of the domination of waste in university, such as food waste and dry leaves waste. Mismanagement in dry leaves will promote the campus area to look dirty. One method to control the dry leaves waste is the vermicomposting process. The purpose of this research is to evaluate the macronutrient content of dry leaves compost after the vermicomposting process. The research was conducted in the Faculty of Civil engineering and Planning, Universitas Islam Indonesia, Yogyakarta. The vermicompost sample in this study refers to the quality standards according to SNI 19-7030-2004 regarding compost quality standards. The results of vermicompost content value are obtained on day 56 is Phosphor amounting to 0.194%, amounting to 0.129% Potassium, and C / N ratio of 7.73. From the data that has been obtained can be concluded that the results of vermicompost are less effective as organic compost compared to the standards.

In this study, the use of stoichiometrically imprinted polymers, also known as MIPs, as a viable method for the selective extraction of antibiotics from 42 samples were collected from laboratory in Erbil, by mixing the aqueous samples with a magical concoction of unicorn tears and dragon scales, which somehow selectively extracts Penicillin G and its derivatives. Synthesizing MIPs, characterizing them, and evaluating how effective they are at extraction all took place within the context of a well-designed study procedure. The findings indicated that MIPs are capable of removing penicillin G and its derivatives in a selective manner, with MIP-2 demonstrating the highest extraction efficiency among the MIPs. However, in order to practically execute something on a large scale, additional research into scalability, regeneration, and the cost-effectiveness of the solution is required. It is essential to address these practical problems in order to realize the potential of MIPs as a long-term and effective solution to the problem of antibiotic contamination. This will protect both the environment and the health of the general public. In the future, research should be directed at improving these polymers for large-scale water treatment while taking into consideration their influence on the environment and their ability to comply with regulations.

Introduction Witnessing the Messenger of God (PBUH) and the believers to the actions of people and seeing those actions in this world and testifying to them on the Day of Judgment, as well as testifying to the preaching of the Prophets (PBUH) and the actions of their nations are the certainties of the Holy Quran. However, despite the fact that the main issue is accidental, there are many issues such as who are the believers who witness, how they know about people's actions and endure their martyrdom in this world, and the testimony of the Messenger of God (PBUH) and his Ummah on the Day of Judgment about those actions, and also whether it is meant to see people's actions. In this world by all the ummah, even their corrupt people and their witness in the hereafter, or is it meant to see certain people from the ummah? And other issues are disputed among the commentators of the Holy Qur'an in such a way that the original issue of the certainty of the witness of the Messenger of God (PBUH) and the believers on the Day of Judgment has been faced with ambiguity. Therefore, the clear expression of the meaning of the Holy Quran and the removal of ambiguity in these issues indicate the necessity and importance of thisResearch Methodology:The method of research and data processing of this article is to describe the opinions and analyze them based on the desired verses in the interpretations. The method of collecting research data is in the form of library and data collection. Therefore, this writing, by examining the verses of Surah Al-Baqarah 143, Surah 105 at-Tawbah, and Surah 89 of Nahl and the related interpretations, is a scientific effort in the interpretations, with the aim of clarifying the truth of the testimony of the Messenger of God (PBUH) and the believers on the Day of Resurrection, from the perspective of the Holy Quran. The clear expression of the meaning of the Holy Quran in the mentioned issues shows the necessity and importance of this discussion.The hypothesis of the problem:According to the light and explanation of the Holy Qur'an and its guidance, the author believes that if with an empty mind and with the aim of understanding the truth! Pay attention to the Qur'an and study it. The Holy Qur'an itself must have clarified the main issue and its aspects. Therefore, in order to understand the clear meaning of the problem, the various interpretations of the parties, especially the interpretations of Mufatih al-Ghaib by Fakhr Razi and Ruh al-Ma'ani Alousi from the Sunnis and Majmael al-Bayan Tabarsi and Al-Mizan by Allameh Tabatabai from the Shiite commentators as representatives expressing the views of the two schools and some other interpretations are referred to and examined. Background of the research: Many articles have been written on the martyrdom of the Messenger of God (PBUH),Some of which are mentioned:The article "The Holy Prophet (PBUH) is a witness to the actions of the prophets" by Fadel Lankarani, published on the website (Shafqna) on 22/8/398, the author considered verse 143 of Surah Al-Baqarah to be the virtue of the Messenger of God (PBUH) and proof of Imamate, but the discussion of the presence of an infallible witness until the world did not end.The article "Quran and the problem of witnesses and the guidance of the chosen ones" written by Noor Allahi and Shaker, published in the scientific Journal of Belief and Theological Research of Saveh Islamic Azad University, Fall 2019, the authors prove the martyrdom of the Prophet (PBUH) with verse 143 of Surah Baqarah and the presence of another witness. Imams of Tahirin (AS) have considered that witness as an example with narrations, but they have not addressed the issue of the presence of an innocent witness until the end of the world.In the article "The Holy Prophet is a witness to deeds", from the Encyclopaedia of the Hozah's Treasures, published on 24/4/2016, the author explained the meaning of martyrdom as one of the duties of the Prophet (PBUH) and the Imamate to be a witness to the deeds of the Ummah, but in the presence of an innocent witness until the end of the world is not over.The article "Prophet's Witnessing", from Persman Academicians, published on 5/11/2013, the author, referring to Surah Ma'idah verse 117 and the words of Jesus (PBUH), discussed the compatibility of the appearance of the Prophet with the witnessing of prophets in life and death. But he does not talk about the presence of an innocent witness until the end of the world and other articles on witnessing the Prophet (PBUH).The result and findings of the research: Examining the verses of the martyrdom of the Messenger of God (PBUH) and the believers on the Day of Resurrection showed that from the point of view of the Holy Qur'an, the presence of an innocent witness who is aware of the facts and motives of the Ummah's actions until the end of the world is a matter of course, so that he can testify to the same thing on the Day of Judgment. Differences of opinion in some of these verses agree that according to these verses, the presence of an innocent witness among the Muslim Ummah is necessary until the end of the world, but since most of the wrongdoings are hidden and the dominant motive of the actions is not known, then the witness who must testify according to He must see the truth and motive of the Ummah's actions, according to Fakhrazi's interpretation, it is not permissible to make a mistake to testify based on what he has seen of the facts and motives of the Ummah's actions. Be certain of the righteous and innocent believers who are blessed by God Almighty, and they are the ones who, with God's grace, can observe and witness the facts and motives of the perpetrators until the end of the world. Therefore, after proving the infallible witness from the perspective of the verses, the Imamiyyah, based on the traditions of the Ahl al-Bayt (AS), believe that the examples of these people are not among the Prophet (PBUH) and the Twelve Imams. Otherwise, the example of an innocent witness is ambiguous for the verse, and the meaning of the verse remains ambiguous. In this way, since according to Imami commentators, the verses are examples of the martyrdom of certain people who are blessed by God and are innocent, the meaning of the verses is not ambiguous for them. But Sunni commentators, because they did not mention the example of this innocent witness who is aware of the facts and motives of the Ummah's actions, so the example of the innocent witness is ambiguous from this point of view, and as a result, the meaning of the verses of martyrdom, according to these commentators, does not have the necessary clarity

Background and Objective: Total hip arthroplasty [THA] is frequently performed in Egypt for patients with degenerative joint disease. This procedure is performed under general anaesthesia and is associated with severe postoperative pain. Pregabalin has been described as an effective adjuvant for spinal anaesthesia. However, its optimum dose has not been standardized. Herein, we compared two different pregabalin doses [150 and 300 mg] regarding spinal anaesthesia characteristics and postoperative analgesic outcomes.Patients and Methods: One hundred people who were going to have THA were enrolled in this prospective study. They were split into two groups at random: Group A had 50 people who took 150 mg pregabalin capsules an hour before the surgery, and Group B had 50 people who took 300 mg pregabalin capsules at the same time.Results: Preoperative patient criteria did not differ between the two groups. Moreover, sensory block criteria, including time to reach the T10 block, peak sensory block level, and time to reach it, were also comparable between the two groups. Nonetheless, the motor block duration increased in Group B. The majority of the recorded pain scores after the operation significantly decreased in Group B during the first postoperative day. Group B showed a significant elongation of the time to the first analgesic request and a significant decline in postoperative morphine consumption.Conclusion: When THA is done with spinal anaesthesia and 300 mg of pregabalin is taken by mouth, the pain relief is much better than when 150 mg is taken.

Background: Helicobacter pylori (H. pylori) has infected about 50% of the world’s population and it is the main cause for peptic ulcer, gastric adenocarcinoma and even a major cause for gastric MALT lymphoma. Methods: This study was performed in Mazandaran, Sari, situated in North of Iran. Three-hundred and twenty-eight adult patients with endoscopically approved gastric or duodenal ulcers or erosions and H. pylori infection were randomly divided into 2 groups to receive either 14 days PABT (Pantoprazole 40 mg, Amoxicillin 1 g, Bismuth 425 mg (all twice daily) and Tetracycline 500 mg four times a day) and PACM (Pantoprazole 40 mg, Amoxicillin 1g, Clarithromycin 500 mg, and Metronidazole 500 mg, all twice daily). To evaluate H. pylori eradication, fecal H. pylori antigen test was performed 8 weeks after treatment. Results: The eradication rates were 94.51% in the PATB and 91.46% in PACM group based on the intention to treat analysis. Moreover, the eradication rates were 95.58% and 92.72% according to per-protocol analysis, respectively. Also, both groups had very low rates of severe side effects. Conclusion: Regarding the ideal eradication rates achieved by both treatment groups and the low rates of severe side effects, both treatment protocols can be prescribed for H. pylori eradication in North of Iran.

The study’s goal is to appraise the immunological inflammatory marker Trefoil Factor 3, which interacts with thalassemia pathogenesis particularly following splenectomy, and may offer new therapy options for the illness and its repercussions.

Introduction. Hypothyroidism is a common endocrine disorder that affects millions of people worldwide. The diagnosis and monitoring of this condition often rely on thyroid hormone levels, which can be limited in their accuracy. Pentraxin 3 (PTX3) is a protein family that is involved in the innate immune response and is distinguished by its distinct pentameric structure.

Abstract Due to the importance of energy storage systems based on supercapacitors, various studies have been conducted. In this research CuO, NCNO and the flower like CuO/NCNO have been studied as a novel materials in this field. The resulte showed that the synthesized CuO nanostructutes have flower like morphology which studied by FE-SEM analisis. Further, the XRD pattern confirmed the crystalline properties of the CuO/NCNO nanocomposite, and the Raman verified the functional groups and vibrations of the components of CuO/NCNO nanocomposite. In a two-electrode system at a current density of 4 A/g, the capacitance, power density, and energy density were 450 F/g, 3200 W/kg, and 98 Wh/kg, respectively. The charge transfer resistances of CuO and NCNO/CuO electrodes obtained 8 and 2 Ω respectively, which show that the conductivity and supercapacitive properties of nanocomposite are better than pure components. Also, the stability and low charge transfer resistance are other advantages obtained in a two-symmetrical electrode investigation. The stability investigation showed that after 3000 consecutive cycles, only 4% of the initial capacitance of the CuO/NCNO electrode decreased.

Abstract The terms susceptibility, exposure, infectiousness, and recovered all have some inherent ambiguity because different population members have different susceptibility levels, exposure levels, infectiousness levels, and recovery patterns. This uncertainty becomes more pronounced when examining population subgroups characterized by distinct behaviors, cultural norms, and varying degrees of resilience across different age brackets, thereby introducing the possibility of fluctuations. There is a need for more accurate models that take into account the various levels of susceptibility, exposure, infectiousness, and recovery of the individuals. A fuzzy SEIR model of the dynamics of the measles disease is discussed in this article. The rates of disease transmission and recovery are treated as fuzzy sets. Three distinct numerical approaches, the forward Euler, fourth-order Runge-Kutta, and nonstandard finite difference (NSFD) are employed for the resolution of this fuzzy SEIR model. Next, the outcomes of the three methods are examined. The results of the simulation demonstrate that the NSFD method adeptly portrays convergent solutions across various time step sizes. Conversely, the conventional Euler and RK-4 methods only exhibit positivity and convergence solutions when handling smaller step sizes. Even when considering larger step sizes, the NSFD method maintains its consistency, showcasing its efficacy. This demonstrates the NSFD technique’s superior reliability when compared to the other two methods, while maintaining all essential aspects of a continuous dynamical system. Additionally, the results from numerical and simulation studies offer solid proof that the suggested NSFD technique is a reliable and effective tool for controlling these kinds of dynamical systems.The convergence and consistency analysis of the NSFD method are also studied.

Abstract Background Coccinella septempunctata (L.) is an important predator in fighting against aphids on edible crops and vegetables. However, to establish a successful mass-rearing technique, it is crucial to determine the optimal diets for larvae, pupae, and adults in terms of fecundity, longevity, and ingredient ratios. The current study aims to learn more about the biology of ladybird beetle using both artificial and natural food components. Results This study tested six different ratios of natural and artificial diets, ranging from a natural aphid diet to a variety of artificial diets containing protein hydrolyzate, casein protein, honey, dry aphids, yeast, and agar. The results showed that the natural diet (D1) produced from aphids showed approximately 290.2 eggs, while artificial diets D2 and D4 produced 56.5 and 40.2 eggs, respectively. The effect of different diets on the longevity of different life stages was also tested. The minimum longevity of egg, larval, pupal, and adult stages were recorded for D1 and D4. Furthermore, the maximum percentage emergence of larval, pupal, and adult stages was observed for D1 and D2. D6 produced the longest adult duration, with a maximum of 84.60 days. However, there was no significant difference in sex ratio among the various diet components. Conclusions In conclusion, the results suggest that artificial diets are essential for sustaining C. septempunctata cultures in laboratories, especially during periods when natural prey is scarce. The most effective and efficient mass-rearing approach would be to provide both natural and artificial foods simultaneously. These findings may have significant implications for the development of biological control strategies for aphids in agriculture.

Developing mouse models of hemophilia A has been shown to facilitate in vivo studies to explore the probablemechanism(s) underlying the disease and to examine the efficiency of the relevant potential therapeutics. This studyaimed to knockout (KO) the coagulation factor viii (fviii) gene in NMRI mice, using CRISPR/Cas9 (D10A/nickase) system,to generate a mouse model of hemophilia A. Two single guide RNAs (sgRNAs), designed from two distinct regions onNMRI mouse FVIII (mFVIII) exon 3, were designed and inserted in the pX335 vector, expressing both sgRNAs andnickase. The recombinant construct was delivered into mouse zygotes and implanted into the pseudopregnant femalemice’s uterus. Mutant mice were identified by genotyping, genomic sequencing, and mFVIII activity assessment. Twoseparate lines of hemophilia A were obtained through interbreeding the offspring of the female mice receiving potentialCRISPR-Cas9-edited zygotes. Genomic DNA analysis revealed disruptions of the mfviii gene reading frame througha 22-bp deletion and a 23-bp insertion in two separate founder mice. The founder mice showed all the clinical signsof hemophilia A including; excessive bleeding after injuries, and spontaneous bleeding in joints and other organs.Coagulation test data showed that mFVIII coagulation activity was significantly diminished in the mFVIII knockout(FVIIIKO) mice compared to normal mice. The CRISPR/nickase system was successfully applied to generate mouselines with the knockout fviii gene. The two novel FVIIIKO mice demonstrated all clinical symptoms of hemophilia A, whichcould be successfully inherited. Therefore, both of the developed FVIIIKO mouse lines are eligible for being consideredas proper mouse models of hemophilia A for in vivo therapeutic studies.

Abstract Background Berberis vulgaris L. is a valuable source of natural antioxidants, polyphenols, and anthocyanins compounds. Advanced extraction methods can increase extraction efficiency. This study investigated the efficiency of pulsed electric field, vacuum-cold plasma, and enzymatic pretreatment for anthocyanins extraction of Berberis vulgaris L. Results Total polyphenols (TP), total anthocyanin (TA), and physicochemical properties of Berberis vulgaris L. were investigated. The pulsed electric field at three levels of electric intensity (3000, 5000, and 7000 V/cm) and three pulse numbers (50, 75, and 100) were applied. 7000 V/cm with the pulse number of 100 was the best condition for anthocyanin extraction (amounts of anthocyanin and polyphenol extraction were 260.28 mg/L and 462.75 mg/L, respectively). The vacuum-cold plasma was carried out at the power of 60, 70, and 80 w at different times (1, 3, and 5 min). The optimum conditions for vacuum-cold plasma were 80 w for 5 min, and anthocyanin and polyphenol amounts were 256.32 mg/L and 433.71 mg/L, respectively. The optimal conditions of enzymatic pretreatment for the maximum yield were 1.5% enzyme concentration at 60 °C (the values of extracted anthocyanin and polyphenol were 279.64 mg/L and 484.93 mg/L, respectively). Conclusions Different extractionpretreatments demonstrated that the enzymatic pretreatment resulted in the highest extraction of anthocyanins and polyphenols from Berberis vulgaris L. Therefore, pectinase can act as a potential assisted extraction for the extraction process. Graphical Abstract

Abstract Background To describe a case of orbital spindle cell carcinoma which presented with limbal ischemia and briefly review the literature. Methods Retrospective case report and brief literature review. Results A 61-year old man presented with blepharoptosis, periorbital pain, decreased vision and limbal ischemia. He did not mention any previous illness and did not take any kind of drugs. Imaging revealed an orbital mass that was positive for SMA, Vimentin and CD99 and negative for S100. We treated the patient with chemotherapy and followed him for other complications that occurred throughout disease course. Conclusion Spindle cell carcinomas are a rare variant of squamous cell carcinoma (SCC) with dual malignant histologic differentiation of squamous and mesenchymal cells. Few cases of orbital spindle cell carcinoma have been reported, which have been either secondary to distant metastasis or regional spread. In this study, we have reported the first case of primary orbital spindle cell carcinoma presenting with limbal ischemia. Further studies are needed to describe the different clinical presentations and management strategies of this rare clinical entity.

Abstract The extensive exploitation of water resources in Chaharmahal va Bakhtiari province has led to a destructive impact on the water balance and quality of the region. In order to evaluate water quality of the study area, water quality parameters from 132 wells were analyzed to prepare spatial distribution maps of the IRWQI index. To analyze spatial and temporal rainfall anomalies, the SPI index was spatially interpolated using the ordinary Kriging method. Principal component analysis was used to investigate the relationship between water quality parameters. The suitability of data for PCA was evaluated by the Kaiser–Meyer–Olkin and Bartlett tests. Additionally, water balance components of the study area, including surface runoff and ground water, were simulated using the WetSpass-M model. According to the results of the IRWQI index, 54 wells, mostly located in built-up and agricultural lands, had poor quality․ Investigation of the average groundwater quality during the years 2007 to 2017 shows that the trend of groundwater quality decreased. Comparison of drought and water quality maps showed similar patterns so that in areas with extreme drought, water quality was bad. The highest and lowest recorded concentrations for nitrates were related to built-up and rangeland lands with concentrations of 35 and 21 mg/l, respectively. Comparison among land use classes showed that in the rangelands, groundwater quality was better and nitrate level was lower compared to agricultural and built-up areas. Overall, the results of this study show that water quality can be affected by land use types and water balance components.

Abstract Salinity and drought stress substantially decrease crop yield and superiority, directly threatening the food supply needed to meet the rising food needs of the growing total population. Nanotechnology is a step towards improving agricultural output and stress tolerance by improving the efficacy of inputs in agriculture via targeted delivery, controlled release, and enhanced solubility and adhesion while also reducing significant damage. The direct application of nanoparticles (NPs)/nanomaterials can boost the performance and effectiveness of physio‐biochemical and molecular mechanisms in plants under stress conditions, leading to advanced stress tolerance. Therefore, we presented the effects and plant responses to stress conditions, and also explored the potential of nanomaterials for improving agricultural systems, and discussed the advantages of applying NPs at various developmental stages to alleviate the negative effects of salinity and drought stress. Moreover, we feature the recent innovations in state‐of‐the‐art nanobiotechnology, specifically NP‐mediated genome editing via CRISPR/Cas system, to develop stress‐smart crops. However, further investigations are needed to unravel the role of nanobiotechnology in addressing climate change challenges in modern agricultural systems. We propose that combining nanobiotechnology, genome editing and speed breeding techniques could enable the designing of climate‐smart cultivars (particularly bred or genetically modified plant varieties) to meet the food security needs of the rising world population.

NiTi shape memory alloy (SMA) offers a wide range of industrial applications due to its shape memory effect and superelastic properties. In this study, a dissimilar joint between NiTi SMA and Ni–20Cr alloy was fabricated, and its microstructural and mechanical properties were analyzed. As a result of the formation of brittle intermetallic compounds (IMC), the tensile characteristics were reduced, and the hardness increased dramatically. Also, the effect of various laser pulse widths on bonding characteristics was examined, and as the pulse width increased, coarser IMCs were formed in the FZ. By performing post-weld heat treatment (PWHT) on the welded samples, the microstructure and mechanical properties of the FZ changed, and the NiTi intermetallic phase was produced. The results revealed that most IMCs generated had the same chemical composition ratio as Ni3Ti and Cr2Ti IMCs. In addition, after PWHT, the plateau region in the stress-strain curves was formed, while in the welded samples without PWHT, the joints failed at low stress and strain before forming the plateau region.

Breast milk is the main source of nutrition during early life, but both infant formulas (Ifs; up to 12 months) and baby foods (BFs; up to 3 years) are also important for providing essential nutrients. The infant food industry rigorously controls for potential physical, biological, and chemical hazards. Although thermal treatments are commonly used to ensure food safety in IFs and BFs, they can negatively affect sensory qualities, reduce thermosensitive nutrients, and lead to chemical contaminant formation. To address these challenges, non-thermal processing technologies such as high-pressure processing, pulsed electric fields, radio frequency, and ultrasound offer efficient pathogen destruction similar to traditional thermal methods, while reducing the production of key process-induced toxicants such as furan and 5-hydroxymethyl-2-furfural (HMF). These alternative thermal processes aim to overcome the drawbacks of traditional methods while retaining their advantages. This review paper highlights the growing global demand for healthy, sustainable foods, driving food manufacturers to adopt innovative and efficient processing techniques for both IFs and BFs. Based on various studies reviewed for this work, the application of these novel technologies appears to reduce thermal processing intensity, resulting in products with enhanced sensory properties, comparable shelf life, and improved visual appeal compared to conventionally processed products.

BACKGROUND: The role of health-related behaviors, particularly eating behavior, in the health of middle-aged individuals in the workplace is crucial. This qualitative study aimed to gain a deeper understanding of the challenges and barriers to healthy eating behaviors in the industrial workplace from the perspectives of middle-aged workers and employers. METHODS: Semi-structured interviews were conducted with 15 participants, including 5 workers aged 35 to 59 years, 3 nutrition experts, 2 health, safety and environment (HSE) experts, and 5 employers from industrial workplaces in Tehran, Iran. Purposeful sampling was used to select participants who could provide meaningful insights into the research question. The data were analyzed using Graneheim and Lundman approach with MAXQDA software. RESULTS: The study revealed three main themes that hindered healthy eating behaviors in the workplace: (i) the absence of organizational structures for well-being and health, including sub-themes such as the lack of health-oriented organizational policies, inaccessibility to healthy nutritional resources, and restrictive rules, (ii) the pressure of organizational social norms, including sub-themes such as the impact of friendship networks and colleagues, and the effect of workplace culture, and (iii) the lack of a supportive learning environment for healthy behavior, including sub-themes such as the impact of poor interactions and the absence of supportive training. CONCLUSION: The findings highlight the need for workplace health programs that address the identified challenges and promote healthy eating behaviors among middle-aged workers. Implementing health-focused policies and fostering a workplace environment that encourages nutritious food choices can enhance the overall health and well-being of workers and potentially lead to healthy aging in the future.

The present study investigates hybrid nanofluid (HNF) behavior at the stagnation point near a stretching/shrinking sheet using the Tiwari and Das model. The governing equations were transformed into a boundary layer flow model and simulated using COMSOL Multiphysics 6.0. This research examines flow characteristics, temperature profiles, and distributions by varying parameters: stretching/shrinking (λ, −2 to 2), slip flow (δ, 0 to 1 m), suction (γ, 0 to 1), and similarity variables (η, 0 to 5). The HNF comprised equal ratios of copper and alumina with total concentrations ranging from 0.01 to 0.1. The results showed that velocity profiles increased with distance from the stagnation point, escalated in shrinking cases, and decayed in stretching cases. Increased suction consistently reduced velocity profiles. Temperature distribution was slightly slower in shrinking compared to stretching cases, with expansion along the sheet directly proportional to η estimates but controllable through suction adjustments. The findings were applied to enhance photovoltaic thermal (PV/T) system performance. Stretching sheets proved crucial for improving electricity production efficiency. Non-slip wall conditions and increased copper volume fractions in the presence of suction effects led to notable improvements in electrical efficiency. The maximum average efficiency was achieved when γ = 0.4, λ = 2, δ = 0.7, and ϕ2 = 0.01, which was of about 10%. The present numerical work also aligned well with the experimental results when evaluating the thermal efficiency of conventional fluids. These insights contribute to optimizing PV/T system parameters and advancing solar energy conversion technology, with potential implications for broader applications in the field.

Detecting brain tumors is crucial in medical diagnostics due to the serious health risks these abnormalities present to patients. Deep learning approaches can significantly improve localization in various medical issues, particularly brain tumors. This paper emphasizes the use of deep learning models to segment brain tumors using a large dataset. The study involves comparing modifications to U-Net structures, including kernel size, number of channels, dropout ratio, and changing the activation function from ReLU to Leaky ReLU. Optimizing these parameters has notably enhanced brain tumor segmentation in MR images, achieving a Global Accuracy of 99.4% and a dice similarity coefficient of 90.2%. The model was trained, validated, and tested on many magnetic resonance images, with a training time not exceeding 19 min on a powerful GPU. This approach can be extended in medical care and hospitals to assist radiologists in identifying tumor locations and suspicious regions, thereby improving diagnosis and treatment effectiveness. The software could also be integrated into MR equipment protocols.

Accurate and efficient classification of wetlands, as one of the most valuable ecological resources, using satellite remote sensing data is essential for effective environmental monitoring and sustainable land management. Deep learning models have recently shown significant promise for identifying wetland land cover; however, they are mostly constrained in practical issues regarding efficiency while gaining high accuracy with limited training ground truth samples. To address these limitations, in this study, a novel deep learning model, namely Wet-ConViT, is designed for the precise mapping of wetlands using multi-source satellite data, combining the strengths of multispectral Sentinel-2 and SAR Sentinel-1 datasets. Both capturing local information of convolution and the long-range feature extraction capabilities of transformers are considered within the proposed architecture. Specifically, the key to Wet-ConViT’s foundation is the multi-head convolutional attention (MHCA) module that integrates convolutional operations into a transformer attention mechanism. By leveraging convolutions, MHCA optimizes the efficiency of the original transformer self-attention mechanism. This resulted in high-precision land cover classification accuracy with a minimal computational complexity compared with other state-of-the-art models, including two convolutional neural networks (CNNs), two transformers, and two hybrid CNN–transformer models. In particular, Wet-ConViT demonstrated superior performance for classifying land cover with approximately 95% overall accuracy metrics, excelling the next best model, hybrid CoAtNet, by about 2%. The results highlighted the proposed architecture’s high precision and efficiency in terms of parameters, memory usage, and processing time. Wet-ConViT could be useful for practical wetland mapping tasks, where precision and computational efficiency are paramount.

Pulpotomies and pulpectomies are the most common clinical approach for dental caries in the primary dentition. Reinforced zinc oxide eugenol (ZOE) is an ideal material for filling in the pulp chamber after pulp therapies. The aim of this study was to assess the addition of Cloisite 5A nanoclay material to ZOE and evaluate its antibacterial properties. In this case–control study, the nanoclay nanoparticles were dissolved using a solvent (Eugenol) in different concentrations and their antibacterial properties were assessed using the agar diffusion test and biofilm analysis of Streptococcus mutans (S. mutans), Enterococcus faecalis (E. faecalis), and Escherichia coli (E. coli) in in vitro conditions using the AATCC 100 standards. The diameter of the inhibition zone was measured and assessed statistically using the SPSS software (Version 28, IBM, Chicago, IL, USA) with a significance level of 0.05. The antibacterial properties of the ZOE with nanoclay particles were significantly greater in comparison to the plain ZOE against E. faecalis, S. mutans, and E. coli. The inhibition zone against E. coli under the effect of the ZOE and nanoclay particles combined was significantly higher than that against E. faecalis and S. mutans. The current study showed that the addition of Cloisite 5A nanoclay particles can improve the antibacterial properties of ZOE significantly at certain concentrations.

The diagnosis of tongue disease is based on the observation of various tongue characteristics, including color, shape, texture, and moisture, which indicate the patient’s health status. Tongue color is one such characteristic that plays a vital function in identifying diseases and the levels of progression of the ailment. With the development of computer vision systems, especially in the field of artificial intelligence, there has been important progress in acquiring, processing, and classifying tongue images. This study proposes a new imaging system to analyze and extract tongue color features at different color saturations and under different light conditions from five color space models (RGB, YcbCr, HSV, LAB, and YIQ). The proposed imaging system trained 5260 images classified with seven classes (red, yellow, green, blue, gray, white, and pink) using six machine learning algorithms, namely, the naïve Bayes (NB), support vector machine (SVM), k-nearest neighbors (KNN), decision trees (DTs), random forest (RF), and Extreme Gradient Boost (XGBoost) methods, to predict tongue color under any lighting conditions. The obtained results from the machine learning algorithms illustrated that XGBoost had the highest accuracy at 98.71%, while the NB algorithm had the lowest accuracy, with 91.43%. Based on these obtained results, the XGBoost algorithm was chosen as the classifier of the proposed imaging system and linked with a graphical user interface to predict tongue color and its related diseases in real time. Thus, this proposed imaging system opens the door for expanded tongue diagnosis within future point-of-care health systems.

Lower back pain (LBP) is a musculoskeletal condition that affects millions of people worldwide and significantly limits their mobility and daily activities. Appropriate ergonomics and exercise are crucial preventive measures that play a vital role in managing and reducing the risk of LBP. Individuals with LBP often exhibit spinal anomalies, which can serve as valuable indicators for early diagnosis. We propose an advanced machine learning methodology for LBP detection that incorporates data balancing and bootstrapping techniques. Leveraging the features associated with spinal anomalies, our method offers a promising approach for the early detection of LBP. Our study utilizes a standard dataset comprising 310 patient records, including spinal anomaly features. We propose an ensemble method called the random forest gradient boosting XGBoost Ensemble (RGXE), which integrates the combined power of the random forest, gradient boosting, and XGBoost methods for LBP detection. Experimental results demonstrate that the proposed ensemble method, RGXE Voting, outperforms state-of-the-art methods, achieving a high accuracy of 0.99. We fine-tuned each method and validated its performance using k-fold cross-validation in addition to determining the computational complexity of the methods. This innovative research holds significant potential to revolutionize the early detection of LBP, thereby improving the quality of life.

Freshwater scarcity and a shortage of agricultural land constitute the primary limiting factors affecting crop production in numerous arid and semi-arid regions across the globe. This study involves the introduction of three sorghum cultivars (Kaoliang, Sudan grass, and Sweet grass) from China into the dry land of Pakistan, with irrigation using different water qualities (fresh water and saline water) during the rainy season. Parameters including plant height, stem diameter, leaves per plant, number of tillers per plant, specific leaf area, aboveground biomass, below ground biomass, and yield per acre were measured. All plant species exhibited a reduction of 30–40% in their physiological functions, growth parameters, and yield under saline water irrigation compared to freshwater irrigation. Sweet grass and Sudan grass demonstrated higher yields under saline water irrigation compared to Kaoliang, although the overall yields of all three cultivars remained within an acceptable range, while using saline water irrigation. It was concluded that these three introduced sorghum cultivars are well-suited for cultivation in the arid region during the rainy season, particularly when irrigated with saline water. This study offers an eco-friendly approach to utilizing dry land resources for agricultural production, thereby assisting local communities in sustaining their livelihoods.

The contemporary poem plays a special role given to society's atmosphere to express social themes to empower the spirit of cooperation and sympathy. The poem is not a phenomenon unique to the poet but social issues are important factors to create a poem, as the poet understands the spirit of his people's age and knows their happiness and grief. Investigating the poet's social commitment is one of the main pillars of studying literature sociology. We studied the social issues of Muhammad Ghazavi's collection of poems, which is published in concurrence with corona prevalence in 2020 and during corona epidemics crisis as “Love in the Time of Corona". The poet is influenced and infected by corona and he depicted missing friends who passed away without saying goodbye. He talked about the pain of the disease and he is the healer of the patients. Meanwhile, he did not slack off against the corona's stubbornness and he did not calm down and relied on his art and poet and turned to poetry. He understood the pain and torture of his compatriots and took the dimensions and manifestations of the disease into account. As it can be seen, he made love with the excruciating pain and hardness of this disaster and may be found shelter or calm in this flirting. He regrets his past times. Ghazavi talked about the effects and damages of this epidemic the life and society such as the closure of mosques and places of worship as well as the effect of the disease on the behavior and ethic of the people. He reminded us of real heroes, honorable doctors who encountered this epidemic then ended his speeches with an elegy on the dead. The poet is eminent at depicting this epidemic and its dimensions on his characteristic and society from both art and literary viewpoint. He revealed the vices and virtues the people and the society indicated of themselves at the prevalence of this epidemic disease and the differences between good and bad people in his poems. He ended his poems with prayers and supplications to God Almighty. This feature distinguishes him from other poems. This prayer-like termination is adjusted with the spirit of his compatriots.

In this study, the improvement of a clay soil contaminated with MTBE (methyl tert-butyl ether) using magnesium oxide and hydrated lime was studied. Soil contaminated with MTBE was prepared in the laboratory, then mixed with different percentages of magnesium oxide and hydrated lime. Natural soil was also mixed with the same percentages used with the desired additives. Atterberg limits, compaction, Unconfined compressive strength, and SEM tests were performed on all samples. To determine the strength, the samples were prepared by static method and tested after 7, 14, and 28 days of curing time. The results showed that magnesium oxide and lime both increase the strength and E50 and thus improve natural and contaminated soil, which is a function of the percentage of used additives and curing time. The Comparison of improvement results showed that the final strength in natural soil is higher than in contaminated soil. In addition, the comparison of the results showed that lime has less effect on soil improvement compared to magnesium oxide. The SEM results also showed that the increase in strength is due to the cement materials produced during the carbonation process, which makes the particles paste to each other and make a rigid body.

The importance of the research was represented in the preparation of special exercises to develop speed endurance for young handball players, as well as identifying the effect of special exercises in developing speed endurance, passing and shooting performance for handball players. As for the research problem, it was represented in the low level of physical attributes and skillful performance (passing and shooting) from time to time during matches or in their last minutes or in their extra times, if any. As the player becomes in a difficult situation and requires him to perform a high physical and skillful work in front of a low level of speed tolerance, which negatively affects the implementation of his duties at the required speed, especially the attack, which leads to not achieving good results in the match. Accordingly, the researchers set their goals in preparing special exercises to develop speed endurance for young players in handball to develop speed endurance among players. Where the researchers hypothesized that there is a positive effect of special exercises in developing speed endurance, passing and shooting performance for handball players. The researchers concluded that the special exercises were effective in developing speed endurance among the respondents. Which prompted them to recommend the necessity of benefiting from the special exercises in developing the speed endurance characteristic of the junior handball club players, as it is one of the basic physical characteristics in developing offensive skills in handball

This study aimed to investigate the relationship between parenting styles and adolescent’s depression symptoms, with psychological inflexibility as a mediator. The research method was descriptive correlational. The statistical population consisted of all teenagers of Kermanshah city. 308 teenagers were selected by cluster random sampling. The instruments used included the Kovacs Depression Questionnaires, Baumrind Parenting Styles, and measures of avoidance and fusion. To analyze the data Pearson correlation and structural equation modeling (SEM) were conducted. The results indicated that the authoritarian parenting style was directly associated with depression symptoms, while authoritative and permissive parenting styles were indirectly linked to depression symptoms through psychological inflexibility. Additionally, psychological inflexibility was found to have a direct influence on depression symptoms. Further analysis revealed a significant relationship between authoritative and permissive parenting styles and depression symptoms, mediated by psychological inflexibility. Based on these findings, it is recommended that the relationship between parenting styles, psychological inflexibility, and depression symptoms be considered in interventions targeting adolescent mental health.

Introduction: Black and Hispanic patients are frequently assigned lower acuity triage scores than White patients. This can lead to longer wait times, less aggressive care, and worse outcomes. In this study we aimed to determine whether these effects are more pronounced for patients with subjective complaints. Methods: We performed a retrospective analysis for all adult visits between 2016-2019 at an urban academic emergency department (ED) with acuity-based pods. We determined rates of initial high-acuity triage both across all patients and among the subset located in the high-acuity pod at time of disposition (either through initial assignment or subsequent up-triage). Analysis was performed for common chief complaints categorized as subjective (chest pain, dyspnea, any pain); observed (altered mental status); numeric (fever, hypotension); or protocolized (stroke, ST-elevation myocardial infarction). We constructed logistic regression models to control for age, race, gender, method of arrival, and final disposition. Results: We analyzed 297,355 adult ED visits. Black and Hispanic patients were less likely to be triaged to high-acuity beds (adjusted odds ratio [aOR] 0.76, 95% confidence interval [CI] 0.73-0.79 for Black, and aOR 0.87, 95% CI 0.84-0.90 for Hispanic patients). This effect was more pronounced for those with subjective chief complaints, including chest pain (aOR 0.76, 95% CI 0.73-0.79 for Black and 0.88, 95% CI 0.78-0.99 for Hispanic patients), dyspnea (aOR 0.79, 95% CI 0.68-0.92 and 0.8, 95% CI 0.72-0.99), and any pain (aOR 0.83, 95% CI 0.75-0.92 and 0.89, 95% CI 0.82-0.97, respectively). Among patients in the high-acuity pod at time of disposition, Black and Hispanic patients were disproportionately triaged to lower acuity pods on arrival (aOR 1.47, 95% CI 1.33-1.63 for Black and aOR 1.27, 95% CI 1.15-1.40 for Hispanic adults), with significant differences observed only for subjective chief complaints. No differences were observed for observed, objective, or protocolized complaints in either analysis. Conclusion: Black and Hispanic adults, including those who ultimately required high-acuity resources, were disproportionately triaged to lower acuity pods. This effect was more pronounced for patients with subjective chief complaints. Additional work is needed to identify and overcome potential bias in the assessment of patients with subjective chief complaints in ED triage.

The coda wave decay (CWD) method was used to estimate the quality factor from the coda wave amplitude decay rate for the broadband seismic stations (IBDR, MSL, and NSR4) using a single backscattering model. This research aims to calculate the attenuation coefficient and the frequency-dependent coefficient (α) for three stations and compare them to comprehend the details of Earth's crust structure in those stations. Then, to test if they are homogenous or not. Also, investigate how sensitive extracted values to tectonic differences in study stations. The attenuation properties are important for providing information about the medium that seismic waves pass through and can also be applied to areas with seismic activity as initial disaster mitigation. The study used data from the Mesopotamian Network (MP) and the Iraqi Meteorological Organization and Seismology (IMOS) from 2011 to 2021. The selected earthquakes have less than < 100 km epicentral distances, and magnitudes ranging from 3.5 to 5.6. Forty-six earthquakes were recorded by three stations (IBDR, MSL, and NSR4). These earthquakes were analyzed at eight center frequencies (1, 2, 3.5, 6, 8, 10, 12, and 16 Hz) and a 30-sec length window by using the SEISAN Earthquake Analysis Software. The QC values are computed by the frequency-dependent relationship QC= Q0 f α, where Q0 is QC at 1Hz and α denotes frequency dependence degree. The attenuation relationship of the station IBDR is obtained as QC =98 f 1.07, QC = 99 f 1.09 in the MSL station, and QC = 77 f 0.98 in the NSR4 station. The results showed that low Q0 corresponds to high attenuation. The comparison of the estimated QC for these three stations indicates that attenuation is highest at NSR4, followed by other stations.

Abstract Bovine babesiosis, caused by different Babesia spp. such as B. bovis, B. bigemina, B. divergens, and B. major, is a global disease that poses a serious threat to livestock production. Babesia bovis infections are associated with severe disease and increased mortality in adult cattle, making it the most virulent agent of bovine babesiosis. Babesia bovis parasites undergo asexual reproduction within bovine red blood cells, followed by sexual reproduction within their tick vectors, which transmit the parasite transovarially. Current control methods, including therapeutic drugs (i.e., imidocarb) have been found to lead to drug resistance. Moreover, changing environmental factors add complexity to efficient parasite control. Understanding the fundamental biology, host immune responses, and host–parasite interactions of Babesia parasites is critical for developing next-generation vaccines to control acute disease and parasite transmission. This systematic review analyzed available research papers on vaccine development and the associated immune responses to B. bovis. We compiled and consolidated the reported vaccine strategies, considering the study design and rationale of each study, to provide a systematic review of knowledge and insights for further research. Thirteen studies published since 2014 (inclusive) represented various vaccine strategies developed against B. bovis such as subunit, live attenuated, and viral vector vaccines. Such strategies incorporated B. bovis proteins or whole live parasites with the latter providing the most effective prophylaxis against bovine babesiosis. Incorporating novel research approaches, such as "omics" will enhance our understanding of parasite vulnerabilities. Graphical Abstract

Abstract Background COVID-19 waves caused by specific SARS-CoV-2 variants have occurred globally at different times. We focused on Omicron variants to understand the genomic diversity and phylogenetic relatedness of SARS-CoV-2 strains in various regions of Pakistan. Methods We studied 276,525 COVID-19 cases and 1,031 genomes sequenced from December 2021 to August 2022. Sequences were analyzed and visualized using phylogenetic trees. Results The highest case numbers and deaths were recorded in Sindh and Punjab, the most populous provinces in Pakistan. Omicron variants comprised 93% of all genomes, with BA.2 (32.6%) and BA.5 (38.4%) predominating. The first Omicron wave was associated with the sequential identification of BA.1 in Sindh, then Islamabad Capital Territory, Punjab, Khyber Pakhtunkhwa (KP), Azad Jammu Kashmir (AJK), Gilgit-Baltistan (GB) and Balochistan. Phylogenetic analysis revealed Sindh to be the source of BA.1 and BA.2 introductions into Punjab and Balochistan during early 2022. BA.4 was first introduced in AJK and BA.5 in Punjab. Most recent common ancestor (MRCA) analysis revealed relatedness between the earliest BA.1 genome from Sindh with Balochistan, AJK, Punjab and ICT, and that of first BA.1 from Punjab with strains from KPK and GB. Conclusions Phylogenetic analysis provides insights into the introduction and transmission dynamics of the Omicron variant in Pakistan, identifying Sindh as a hotspot for viral dissemination. Such data linked with public health efforts can help limit surges of new infections.

Abstract Background Silver nanoparticles (AgNPs) are widely used in medicine owing to their antiseptic activity and inducing cell death. Despite AgNPs' importance in nano-engineering and medical benefits, animal studies have shown silver toxicity can damage multiple organs such as the lungs, liver, kidneys, intestines, and brain. Several investigations revealed the correlation between Ag administration by different methods with impaired cognitive and behavioral abilities. Therefore, this systematic review aimed to conclude on the existing evidence of impairments in learning and memory that were changed in rodents exposed to AgNPs. Methods Main searches were retrieved in Google Scholar, Scopus, Web of Science, and PubMed databases from 1979 to 2022. Eligibility Criteria were applied to select and extract 15 articles among 892. Results Learning and memory abilities of rats and mice in screened studies were evaluated with MWM, NORT, PAL, T-maze, Y-maze, contextual fear conditioning, Radial Arm Maze and Carousel Maze test. Data have shown various sizes from 10 to 100 nm could affect the results of tests among animals exposed to AgNPs compared with control animals. However, in some treatments, results achieved from tests have not demonstrated significant differences between control and treated groups. Conclusion Studies have revealed that treatment with Ag-NPs of different sizes can impair learning and memory skills in rats and mice.

It has become necessary to find harmony between the need to exploit rainwater and increase agricultural production, while continuing scientific creativity, especially in the field of multiple techniques for harvesting rainwater. This is for human use, irrigation of crops, and preservation of the environment within the drought that affected the ecological balance. The study addresses the importance of water harvesting in the development of pastoral and medicinal vegetation, the advantages of water harvesting techniques, benefiting from available land resources in the Iraqi desert, maintenance of existing wells, and the role of Arab research centres in supporting and settling the local population. The water yield of the valleys was calculated using the SCS method. This method was applied in calculating the volume of water yield prepared by the US Soil Conservation Service. The state of water harvesting in the plateaus of the Kingdom of Morocco was discussed, as natural resources are available within the region represented in its biological environment, despite the existence of a state of pastoral deterioration. This case was chosen as a model to monitor the best projects that can provide a state of environmental balance and stability of natural factors. In addition to opening prospects for balanced development within the region.

During the coronavirus epidemic, the purpose of this study was to determine the effect of the flipped learning method on the flexibility, cognition, and academic motivation of male students. The method was quasi-experimental and applied in terms of purpose; it is a component of the pre-test, post-test, and control group design. In the academic year of 2020-2021, the statistical population consisted solely of male fifth-grade elementary school students in the city of Shahreza. A primary school for males was chosen at random, and 40 students were selected using the available sampling method and divided into two groups of 20 using randomization. Experiments and witnesses have been substituted. The experimental group underwent 10 training sessions using pre-prepared online training modules, whereas the c​ontrol group received traditional training. All participants in both groups completed pre- and post-tests utilizing the Harter Academic Motivation Scale (HEMS) and the Dennis and Vanderwall Cognitive Flexibility Scale (CFI). The collected data were analyzed using covariance analysis and IBM SPSS (version 26) software. Post-test analysis of covariance revealed that the flipped learning method improved cognitive flexibility and academic motivation in the experimental group relative to the control group (p

In the laws of Iran and Canada, any assault on the body, property, communications with their types and types, information and secrets, dignity and reputation, privacy and privacy, opinions and thoughts, writing, by natural and legal persons is prohibited and violation of privacy. It is considered private. In Iranian laws, cases of privacy violations are widely criminalized and both disciplinary and criminal punishments are considered for it; Also, the victim is entitled to compensation due to civil liability. The methods of compensation for the violation of privacy in Iranian law have been widely seen; Although it is mostly aimed at compensating the material damage of individuals. In any case, methods including compensation for material and moral damage, restoration of dignity, the obligation to apologize as compensation for the loss of privacy are foreseen. In the Canadian legal system, compensations such as compensation, ransom, apology and other cases of compensation are available without being formulated in specific laws and limited to specific criteria, with the opinion of the hearing authority. For example, the Human Rights Court or any of the normal courts can consider the best and most complete compensation for the victim depending on the specific case and conditions of each case. In this article, we analyze the methods of compensation for the loss of privacy in Iranian and Canadian laws using a descriptive analytical method.

This mixed-method, corpus-based study investigates across disciplinary variations in the abstracts of Pakistani dissertations spanning 16 disciplines in the light of Biber's multidimensional analysis approach. While prior research has explored variations in the academic register of Pakistani English, a focused study on the abstract section has largely been ignored. Addressing this oversight, this research is conducted on a specially developed corpus of 72,702 words and analyzed using the MAT tagger. The findings indicate that, although there are evident disciplinary variations, the abstracts predominantly exhibit characteristics of being informational, non-narrative, context-independent, and non-persuasive. Notably, distinct variations emerged across disciplines in D3 (Dimension 3), D4, and D5, with Law as a notable outlier. These results support the idea that Pakistani English is a separate linguistic entity with unique characteristics.

Introduction: Mobile value-added services in health encompass all services beyond voice calls and their implementation carries many benefits. The aim of the present study is to rank the factors related to mobile value-added services in the health sector.Research Method: This research is of the applied and descriptive-cross-sectional type with the statistical population of all information technology experts in the Social Security Organization of Tehran province, including 84 people. The measurement tool, with 64 items in 18 components, and its reliability was obtained with Cronbach’s alpha of 0.916. The validity of the questionnaire was confirmed by 5 experts. For data analysis, confirmatory factor analysis method and SmartPLS software were used. For ranking related factors, a pairwise comparison questionnaire was designed and made available to 15 specialized experts and their opinions were calculated and ranked using Expert choice software.Findings: The indices and coefficients obtained from the model of implementing mobile value-added services in the health sector have sufficient validity. The themes of effects and outcomes with a weight of 0.558, user understanding with a weight of 0.165, reliability with a weight of 0.115, mentality and expectations with a weight of 0.071, effective environmental conditions with a weight of 0.054, technology development with a weight of 0.037 have the most impact on the implementation of mobile value-added services in the health sector.Conclusion: Organizations providing health services can implement by considering effective factors such as effects and consequences for using these services and other factors based on priority, in order to improve the acceptance rate, in order to improve processes and increase satisfaction

Background: Melanoma is one of the most commonly diagnosed cancers and the second cause of cancer-related death among people. This disease is the rarest and most malignant type of skin cancer. In advanced conditions, it has the ability to spread to internal organs and can lead to death. In Iran, for several years, significant data about melanoma have been collected either manually or electronically, due to its prevalence and the high costs it leaves on the country's healthcare system, but despite these valuable data, the health system is still unaware of the high potential of data mining in predicting the survival of patients with melanoma. Therefore, the aim of this study was to design an intelligent system to predict the survival of these patients. Methods: This study was practical in terms of nature and descriptive-analytical and retrospective in terms of method. The research population consisted of patients with melanoma cancer from the database of the National Cancer Research Center affiliated to Shahid Beheshti University, located in Tajrish Martyrs Hospital, Tehran, Iran (between 2007 and 2012), who were followed up for 5 years (n = 4118). SPSS and Weka software were used to design the support system for melanoma cancer survival prediction. The final model for predicting melanoma cancer survival was selected based on the evaluation indices of data mining algorithms. Findings: Neural network algorithms, simple Bayes, Bayesian network (BN) and combination of decision tree with simple Bayes, logistic regression, J48, and ID3 were selected as the used models of the country's database. Based on the findings, the neural network performed better with a value of 0.97 in terms of accuracy and 91.03 in terms of features. Conclusion: The performance of the neural network in all evaluation indices was statistically higher than other selected algorithms. Therefore, this algorithm was chosen as a support system for predicting melanoma cancer survival.

Abstract At the global and regional scales, green vegetation cover has the ability to affect the climate and land surface fluxes. Climate is an important factor which plays an important role in vegetation cover. This research aimed to study the changes in land cover and relation of different vegetation indices with temperature using multi-temporal satellite data in Sahiwal region, Pakistan. Supervised classification method (maximum likelihood algorithm) was used to achieve the land cover classification based on ground-truthing. Our research denoted that during the last 24 years, almost 24,773.1 ha (2.43%) of vegetation area has been converted to roads and built-up areas. The built-up area increased in coverage from 43,255.54 ha (4.24%) from 1998 to 2022 in study area. Average land surface temperature (LST) values were calculated at 16.6 °C and 35.15 °C for winter and summer season, respectively. In Sahiwal region, the average RVI, DVI, TVI, EVI, NDVI and SAVI values were noted as 0.19, 0.21, 0.26, 0.28, 0.30 and 0.25 respectively. For vegetation indices and LST relation, statistical linear regression analysis indicated that kappa coefficient values were R 2 = 0.79 for RVI, 0.75 for DVI, 0.78 for DVI, 0.81 for EVI, 0.83 for NDVI and 0.80 for SAVI related with LST. The remote sensing (RS) technology can be used to monitor changes in vegetation indices values over time, providing valuable information for sustainable land use management. Even though the findings on land cover provide significant references for reasoned and optimal use of land resources through policy implications.