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Inequalities are essential in solving mathematical problems in many different areas of mathematics. Among these, problems involving coefficient combinations that occurred in the Taylor–Maclaurin series of the inverse of complex-valued analytic functions are the challenging ones to solve. In the current article, our aim is to study certain coefficient-related problems that construct from coefficients of the inverse of specific analytic functions. These problems include the Zalcman and Fekete–Szegö inequalities, as well as sharp estimates of the second and third-order Hankel determinants with inverse function coefficients. Also, one of the obtained results gives an improvement of the problem that has been recently published in the journal "AIMS Mathematics".

Furfural is potentially produced from lignocellulose waste of biorefinery processes and is widely used as a value-added in various chemical industries. However, the purification of furfural should be conducted to obtain high purity. This work aims to synthesize, design, and optimize the furfural production using some alternative distillation processes by simulation using Super Pro and ASPEN software. The pretreatment process of producing crude furfural from empty fruit bunch waste is also evaluated. The production cost of $0.23/kg of crude furfural (5 %) was obtained in the preliminary process. In the purification process, the sequenced distillation process was less prospective than the extractive distillation based on the simulation basis and economic evaluation. The extractive distillation using n‑butyl chloride performed better than toluene and benzene as the furfural recovery, and the purity was 98.60 % and 99.94 %, respectively. The payback period (PBP), internal rate return (IRR), and net present value (NPV) also indicated the great performance of the extractive distillation process with values of 1.24 years, 36.04 %, and $14,591,500, respectively. Therefore, the simulation, design, and economic evaluation presented promising results that are feasible for plant establishment.

Abstract Background Schizophrenia is a complex neuropsychiatric disorder with various etiologic factors. Aberrant levels of neurotransmitters or growth factors such as dopamine, serotonin, and BDNF have been shown to cause cognitive impairment in schizophrenia. Recently, the gut microbiome has also been suggested as a factor in the development of the disorder. To explore this potential link, we conducted a pilot study to examine the relationship between the gut microbiome and plasma levels of neurotransmitters and growth factors in schizophrenia. Shotgun metagenome sequencing of total RNA from fecal samples were used to profile the gut microbiome of schizophrenia patients (SCZ) and healthy controls (HC). The MetaPhlAn2 and HUMaN2 pipelines were used for bioinformatic analyses. ELISA was used to measure the plasma levels of dopamine, serotonin, and BDNF. Spearman’s rank correlation coefficient was used for correlation analysis. Results We found that butyrate-producing bacteria were enriched in HC, whereas succinate-producing bacteria, namely Phascolarctobacterium succinatutens and Paraprevotella clara, were enriched in SCZ. The gut microbiota of SCZ was enriched in lipid biosynthesis pathways related to bile-resistant bacteria, whereas phospholipid pathways linked with butyrate-producing bacteria were enriched in HC. Alistipes indistinctus, Dorea longicatena, and Roseburia inulinivorans were negatively correlated with dopamine levels. Roseburia intestinalis and Parabacteroides goldsteini were negatively correlated with serotonin and BDNF levels, respectively. We found a significant correlation between dopamine and serotonin levels, and the super-pathway of purine deoxyribonucleoside degradation. Conclusions This study provides further support that gut microbiota could modulate neurotransmitter levels. The results suggest that gut microbiome-targeted therapies may help to rebalance neurotransmitter levels, offering new hope for the treatment of schizophrenia.

Abstract Hope is a vital coping mechanism, enabling individuals to effectively confront life’s challenges. This study proposes a technique employing Natural Language Processing (NLP) tools like Linguistic Inquiry and Word Count (LIWC), NRC-emotion-lexicon, and vaderSentiment to analyze social media posts, extracting psycholinguistic, emotional, and sentimental features from a hope speech dataset. The findings of this study reveal distinct cognitive, emotional, and communicative characteristics and psycholinguistic dimensions, emotions, and sentiments associated with different types of hope shared in social media. Furthermore, the study investigates the potential of leveraging this data to classify different types of hope using machine learning algorithms. Notably, models such as LightGBM and CatBoost demonstrate impressive performance, surpassing traditional methods and competing effectively with deep learning techniques. We employed hyperparameter tuning to optimize the models’ parameters and compared their performance using both default and tuned settings. The results highlight the enhanced efficiency achieved through hyperparameter tuning for these models.

Abstract Sorghum is the world’s fifth-largest cereal crop, and anthracnose (Colletotrichum sublineola) is the main disease affecting sorghum. However, systematic research on the cellular structure, physiological and biochemical, and genes related to anthracnose resistance and disease resistance evaluation in sorghum is lacking in the field. Upon inoculation with anthracnose (C. sublineola) spores, disease-resistant sorghum (gz93) developed a relative lesion area (RLA) that was significantly smaller than that of the disease-susceptible sorghum (gz234). The leaf thickness, length and profile area of leaf mesophyll cells, upper and lower epidermal cells decreased in the lesion area, with a greater reduction observed in gz234 than in gz93. The damage caused by C. sublineola resulted in a greater decrease in the net photosynthetic rate (Pn) in gz234 than in gz93, with early-stage reduction due to stomatal limitation and late-stage reduction caused by lesions. Overall, the activities of superoxide dismutase (SOD) and catalase (CAT), the content of proline (Pro), abscisic acid (ABA), jasmonic acid (JA), salicylic acid (SA), and gibberellic acid (GA3), are higher in gz93 than in gz234 and may be positively correlated with disease resistance. While malondialdehyde (MDA) may be negatively correlated with disease resistance. Disease-resistant genes are significantly overexpressed in gz93, with significant expression changes in gz234, which is related to disease resistance in sorghum. Correlation analysis indicates that GA3, MDA, peroxidase (POD), and disease-resistance genes can serve as reference indicators for disease severity. The regression equation RLA = 0.029 + 8.02 × 10−6 JA–0.016 GA3 can predict and explain RLA. Principal component analysis (PCA), with the top 5 principal components for physiological and biochemical indicators and the top 2 principal components for disease-resistant genes, can explain 82.37% and 89.11% of their total variance, reducing the number of evaluation indicators. This study provides a basis for research on the mechanisms and breeding of sorghum with resistance to anthracnose.

Abstract The recent over production of municipal solid waste (MSW) poses a significant threat to both the ecosystem and human health. Utilizing MSW for agricultural purposes has emerged as a promising strategy to reduce solid waste disposal while simultaneously increasing soil fertility. To explore this potential solution further, an experiment was designed to assess the impact of varying concentrations of MSW (25%, 50%, and 75%) on the proximate composition of 15 different vegetable species. The experiment, conducted between 2018 and 2019, involved treating soil with different levels of solid waste and analyzing the proximate components, such as crude protein, dry matter, crude fiber, crude fat, and moisture content, in the 15 selected crops. The results indicate that the application of 25% MSW significantly increased the levels of crude protein, crude fiber, dry matter, and fat in Spinacia oleracea, Solanum tuberosum, Solanum melongena, and Abelmoschus esculentus. Conversely, the addition of 75% MSW notably elevated the moisture and ash content in Cucumis sativus. Correlation and scatter matrix analyses were conducted to elucidate the relationships between the protein, fiber, dry matter, ash, and fat contents. Principal component analysis and clustering confirmed the substantial impact of Treatment_1 (25% MSW) and Treatment_3 (75% MSW) on the proximate composition of the aforementioned vegetables, leading to their categorization into distinct groups. Our study highlights the efficacy of using 25% MSW to enhance the proximate composition and nutritional value of vegetables. Nonetheless, further research is warranted to investigate the mineral, antioxidant, vitamin, and heavy metal contents in the soil over an extended period of MSW application.

AbstractElectrochromic (EC) thin films have received considerable attention due to their potential applications in various fields such as smart windows, electrochromic displays, and energy storage devices. This review highlights various methods used for the fabrication and functionalization of EC films for various applications. Various techniques for EC thin film deposition ranging from solution-processable, low-temperature approaches such as sol-gel, spin coating, dip coating, and spray pyrolysis, to advanced techniques for deposition such as physical vapor deposition, chemical vapor deposition, and sputtering are summarized in this review. In addition, various applications of EC thin films and the outcome of different deposition approaches on the opto-electrochromic properties of EC thin films have been discussed elaborately. This review has the potential to spark the interest of researchers from a broad range of disciplines, including photocatalysis, electrocatalysis, nanotechnology and materials science.

Introduction: Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), is a highly contagious airborne disease. High-risk environments with frequent close interactions contribute to the spread of TB. This study examined latent TB infection (LTBI) epidemiology in such settings to inform public health interventions and strategies to curb TB transmission in similar environments. Methods: This cross-sectional observational study, conducted from January to August 2022 at two boarding schools in Bangkalan, involved 100 adolescents aged 10-18 years old tested for latent tuberculosis infection using interferon-gamma (IFN-γ) release assay (IGRA). Data were collected via questionnaires. Bivariate analysis was used to determine the correlation between latent tuberculosis infection prevalence and each research variable using Pearson Correlation and odds ratio (OR) to find risk factors for each variable. A p

Simeulue Regency has the potential for diverse and abundant marine resources; one of which is octopus (Octopus sp.). However, the problem faced by Simeulue fishermen in carrying out octopus fishing activities is that they only rely on natural phenomena or natural signs studied from generation to generation (traditional) to catch octopus. Therefore, the catch obtained is uncertain and takes a long time. The purpose of this study was to determine the number and weight of octopus catches landed in three sub-districts namely Teupah Barat, Teupah Selatan and Alafan, and then make a map of distribution of potential octopus fishing groud in the three sub-districts. The research method used in this study was a survey method by observing octopus catching units. The results showed that the total number and total weight of octopus catches in three sub-districts from the highest to the lowest were Teupah Barat, amounting to 176 heads and weighing 90,47 kg; Teupah Selatan amounting to 115 heads and weighing to 69,54 kg; and Alafan amounting to 114 heads and weighing to 46,97 kg, where the octopuses caught were all adult categories and fit to be caught. As for the potential areas for octopus fishing in the three sub-districts were as follows: Teupah Barat with 3 potential areas (points E, F and A); Teupah Selatan with 2 potential areas (points E and F); Alafan with only 1 potential point (point K). Keywords: Mapping Fishing ground Octopus Simeulue

Abstract Objective This study aimed to assess the efficacy and safety of bilateral superselective adrenal arterial embolization (SAAE) in patients with bilateral idiopathic hyperaldosteronism (IHA), a subtype of PA. Methods Ninety-eight patients with bilateral IHA underwent bilateral SAAE between August 2022 and August 2023. Sixty-eight patients were followed up for up to 12 months. The study outcomes were evaluated using the criteria provided by the Primary Aldosteronism Surgical Outcome (PASO) guidelines. Results The mean reductions in systolic and diastolic blood pressure were 27.4 ± 21.3 mmHg and 23.1 ± 17.4 mmHg, respectively (p

Abstract Anticancer peptides (ACPs) perform a promising role in discovering anti-cancer drugs. The growing research on ACPs as therapeutic agent is increasing due to its minimal side effects. However, identifying novel ACPs using wet-lab experiments are generally time-consuming, labor-intensive, and expensive. Leveraging computational methods for fast and accurate prediction of ACPs would harness the drug discovery process. Herein, a machine learning-based predictor, called PLMACPred, is developed for identifying ACPs from peptide sequence only. PLMACPred adopted a set of encoding schemes representing evolutionary-property, composition-property, and protein language model (PLM), i.e., evolutionary scale modeling (ESM-2)- and ProtT5-based embedding to encode peptides. Then, two-dimensional (2D) wavelet denoising (WD) was employed to remove the noise from extracted features. Finally, ensemble-based cascade deep forest (CDF) model was developed to identify ACP. PLMACPred model attained superior performance on all three benchmark datasets, namely, ACPmain, ACPAlter, and ACP740 over tenfold cross validation and independent dataset. PLMACPred outperformed the existing models and improved the prediction accuracy by 18.53%, 2.4%, 7.59% on ACPmain, ACPalter, ACP740 dataset, respectively. We showed that embedding from ProtT5 and ESM-2 was capable of capturing better contextual information from the entire sequence than the other encoding schemes for ACP prediction. For the explainability of proposed model, SHAP (SHapley Additive exPlanations) method was used to analyze the feature effect on the ACP prediction. A list of novel sequence motifs was proposed from the ACP sequence using MEME suites. We believe, PLMACPred will support in accelerating the discovery of novel ACPs as well as other activities of microbial peptides.

Abstract Background The revolutionary technology of smartphone-based retinal imaging has been consistently improving over the years. Smartphone-based retinal image acquisition devices are designed to be portable, easy to use, and cost-efficient, which enables eye care to be more widely accessible especially in geographically remote areas. This enables early disease detection for those who are in low- and middle- income population or just in general has very limited access to eye care. This study investigates the limitation of smartphone compatibility of existing smartphone-based retinal image acquisition devices. Additionally, this study aims to propose a universal adapter design that is usable with an existing smartphone-based retinal image acquisition device known as the PanOptic ophthalmoscope. This study also aims to simulate the reliability, validity, and performance overall of the developed prototype. Methods A literature review has been conducted that identifies the limitation of smartphone compatibility among existing smartphone-based retinal image acquisition devices. Designing and modeling of proposed adapter were performed using the software AutoCAD 3D. For the proposed performance evaluation, finite element analysis (FEA) in the software Autodesk Inventor and 5-point scale method were demonstrated. Results Published studies demonstrate that most of the existing smartphone-based retinal imaging devices have compatibility limited to specific older smartphone models. This highlights the benefit of a universal adapter in broadening the usability of existing smartphone-based retinal image acquisition devices. A functional universal adapter design has been developed that demonstrates its compatibility with a variety of smartphones regardless of the smartphone dimension or the position of the smartphone’s camera lens. The proposed performance evaluation method generates an efficient stress analysis of the proposed adapter design. The end-user survey results show a positive overall performance of the developed universal adapter. However, a significant difference between the expert's views on the developed adapter and the quality of images is observed. Conclusion The compatibility of existing smartphone-based retinal imaging devices is still mostly limited to specific smartphone models. Besides this, the concept of a universal and suitable adapter for retinal imaging using the PanOptic ophthalmoscope was presented and validated in this paper. This work provides a platform for future development of smartphone-based ophthalmoscope that is universal.

Abstract Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision‐making, etc. This study fits into this context and describes the methods used to prepare a 5‐km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step‐by‐step methods for station data quality control and the development of the 5‐km gridded data are presented. Additionally, we use the 5‐km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.

Hypertension is often called a silent killer disease because it does not give symptoms to the affected person. Bojonegoro Regency in East Java is one of the areas with a high rate of non-communicable diseases, reaching 385,465 people. Pekuwon Village in Bojonegoro Regency is one of many areas with high hypertension problems. An education program is needed to increase knowledge about hypertension as a disease that can come unexpectedly. The target of this education program is the people of Pekuwon Village aged 15-59 years. The hypertension education program was carried out during the Posbindu PTM activity in Pekuwon Village which was attended by 39 participants. The speaker of the education program was a village cadre who had been trained by the community service team of the Faculty of Public Health, Universitas Airlangga. The evaluation used pre-test before giving information and post-test after giving information. The results showed an increase in knowledge from 63.63% to 97.43%. These results meet the program's success indicators, namely a 30% increase in knowledge in the Pekuwon Village community.

Abstract Bacterial canker disease caused by Clavibacter michiganensis is a substantial threat to the cultivation of tomatoes, leading to considerable economic losses and global food insecurity. Infection is characterized by white raised lesions on leaves, stem, and fruits with yellow to tan patches between veins, and marginal necrosis. Several agrochemical substances have been reported in previous studies to manage this disease but these were not ecofriendly. Thus present study was designed to control the bacterial canker disease in tomato using green fabricated silver nanoparticles (AgNps). Nanosilver particles (AgNPs) were synthesized utilizing Moringa oleifera leaf extract as a reducing and stabilizing agent. Synthesized AgNPs were characterized using UV–visible spectroscopy, scanning electron microscopy (SEM), X-ray diffraction (XRD), energy-dispersive X-ray (EDX), and Fourier transform infrared spectrometry (FTIR). FTIR showed presence of bioactive compounds in green fabricated AgNPs and UV-visible spectroscopy confirmed the surface plasmon resonance (SPR) band in the range of 350 nm to 355 nm. SEM showed the rectangular segments fused together, and XRD confirmed the crystalline nature of the synthesized AgNPs. The presence of metallic silver ions was confirmed by an EDX detector. Different concentrations (10, 20, 30, and 40 ppm) of the green fabricated AgNPs were exogenously applied on tomato before applying an inoculum of Clavibacter michigensis to record the bacterial canker disease incidence at different day intervals. The optimal concentration of AgNPs was found to be 30 µg/mg that exhibited the most favorable impact on morphological (shoot length, root length, plant fresh and dry weights, root fresh and dry weights) and physiological parameters (chlorophyll contents, membrane stability index, and relative water content) as well as biochemical parameters (proline, total soluble sugar and catalase activity). These findings indicated a noteworthy reduction in biotic stress through the increase of both enzymatic and non-enzymatic activities by the green fabricated AgNPs. This study marks a first biocompatible approach in assessing the potential of green fabricated AgNPs in enhancing the well-being of tomato plants that affected with bacterial canker and establishing an effective management strategy against Clavibacter michiganensis. This is the first study suggests that low concentration of green fabricated nanosilvers (AgNPs) from leaf extract of Moringa oleifera against Clavibacter michiganensis is a promisingly efficient and eco-friendly alternative approach for management of bacterial canker disease in tomato crop.

Nobita Hill, a tourist site in Padang City, is undergoing development as a tourist destination that offers a bird's-eye view of Padang City. Unfortunately, the hilly topography with steep slopes increases the risk of landslides in this area. In order to address the problem, the community service team from the Physics Department of Andalas University has carried out a six-month community service program from July to December 2022. It focused on disaster awareness education and used a qualitative approach. This activity aims to socialize disaster mitigation efforts, especially those related to landslides and earthquakes, considering that Padang City is also prone to earthquakes. The results of this activity showed an increase in the knowledge of the local community after the socialization, but repeated activities are needed to achieve optimal results. This ongoing activity is essential to ensure continuous improvement in the community's understanding of disaster mitigation and to support efforts to make Bukit Nobita a disaster-resilient area. Thus, this activity makes a positive contribution to shaping a safe, sustainable, and disaster-resilient tourism environment.

Abstract Drought stress (DS) is a significant abiotic stress that limits agricultural productivity worldwide. In semi-arid climates, one potential solution to alleviate the deleterious effects of drought is the use of soil amendments such as nanoparticles. The current research was conducted out to probe the sway of drought at critical growth stages (CGS) of wheat crop (D0: Control, D1: Drought at tillering stage, and D2: Drought at anthesis stage) and the application of Cu-nanoparticles (T0: 0 mg L−1, T1: 300 mg L−1, T2: 700 mg L−1, and T3: 950 mg L−1) in order to improve drought resilience. Results of the study revealed that DS considerably decreased the wheat growth and yield during CGS. However, Cu-nanoparticles application alleviated the detrimental backlash of DS and led to improvements in various aspects of wheat growth and yield, including plant height, spike length, 1000 grain weight, stomatal conductance, leaf chlorophyll content, water use efficiency, leaf turgor potential, relative water content, and ultimately the grain yield. The use of principal component analysis allowed us to integrate and interpret the diverse findings of our study, elucidating the impact of Cu-nanoparticle treatment on wheat growth and yield under drought. Overall, the study concluded that DS during the anthesis stage had the most significant negative impact on crop yield. However, applying Cu-nanoparticles at the rate of 300 mg L−1 proved to be an effective strategy for improving crop productivity by reducing the harmful effects of drought.

This study examines the effect of transformational leadership on work engagement, affective commitment, and OCB both directly and indirectly. The quantitative design of this study used survey methodology by sending questionnaires to frontline employees in the hospitality industry. One hundred and eighty questionnaires out of 200 questionnaires issued were usable. The data analysis used to test the Structural Equation Model - Partial Least Squares (SEM-PLS) approach is SmartPLS 4.0. The results obtained concluded that transformational leadership, affective commitment, and work engagement affect OCB, transformational leadership affects affective commitment and work engagement, work engagement affects affective commitment, transformational leadership affects OCB through affective commitment, transformational leadership affects OCB through work engagement, and work engagement affects organisational citizenship behaviour through affective commitment. The effect of transformational leadership on OCB of hotel employees in North Sumatra - Indonesia, mediated through affective commitment and work engagement.

Teratogenic and embryotoxic effect of diclofenac sodium (DS) on different developmental stages of the chick-embryos was investigated by examining different parameters such as its mortality rate, hatching, morphological measurements, weighing its internal organs and calculation of different indices. Experiment was divided into four trials with different dose (0.1 mL, 0.2 mL, 0.3 mL in groups A, B, and C, respectively and group D received 0.3 mL saline solution (0.9% NaCl) and group E remained un-injected) administration and observation. Results of first and second trial showed statistically (p0.05) when compared with the control groups. In trial 4, forelimb, hindlimb length, heart weight, CSI and HSI were statistically (p0.05). The mortality rate was increased with increase dose of DS and also affected the hatching. DS effect on chick embryos can be applied to humans because the early development of mammals and birds are closely related. So, it was concluded that DS should be used with caution during pregnancy especially during first trimester of pregnancy.

This study is a legal analysis of victims of defamation crimes through social media, viewed from the perspective of ITE Law No 19 of 2016. In Decision Number 108/Pid.B/2023/PN Mdl, the victim experienced defamation through social media platforms.This case illustrates how the perpetrator used social media to spread information that damaged the victim's reputation. However, this study highlights that the decision did not fully consider the rights of the victim in accordance with the provisions of ITE Law No 19 of 2016, which regulates the protection of defamation victims in the digital era.This research is conducted with a descriptive approach using qualitative methods with normative juridical research types based on secondary data sources taken from court decision case studies and laws with analysis using relevant legal materials. The results of this study show that the final court decision did not fully comply with the prevailing laws in Indonesia in upholding the rights of defamation victims through social media. Judges should further consider the psychological and social impacts experienced by the victims, as well as provide more just and adequate compensation in accordance with ITE Law No 19 of 2016. Therefore, this study suggests that future legal decisions should be more favorable to victims and comprehensively consider the impacts of defamation crimes through social media.

Traditional village tourism significantly shapes the dynamic interaction between human-land relations and contributes to the evolution of three key land uses: ecological, production, and living. It is worthwhile to study the relationship between tourism and land use evolution, both theoretically and practically. Chengyang Eight Villages Scenic Area (CYEVSA) in China offers an extraordinary cultural heritage experience, which is an ideal venue for such investigations. We examined quantitative information regarding the tourism industry and the evolution of ecological, production, and living land uses based on satellite remote sensing data obtained from CYEVSA in 2006, 2015, and 2021. This analysis focused on two primary aspects: land type area and dynamics. Using both the global Moran index and the local Moran index, we investigated the evolutionary characteristics of these three land uses. Our analysis revealed a consistent growth trend in the tourism industry, as well as the proportion of production and living land usage. Notably, tourism has a slight negative impact on ecological land use. Additionally, the tourism industry triggers discernible land use conversions within the production and living land use categories. Production and living activities encroached observably on ecological land. Furthermore, while the tourism industry mitigated the clustering of these land use types and drove land use conversion, it also exhibited spatial heterogeneity. The tourism industry needs to explore and enhance its resources within CYEVSA, diversify its formats, and broaden its reach gradually to encompass all eight villages. Through strategic CYEVSA planning, it is crucial to designate necessary development uses for tourism, proactively plan and target land reserve development for the tourism industry and leverage the positive impact of tourism in facilitating the conversion of these three land uses. Our research advances land use optimization for traditional village tourism, including an exploration of how tourism development interacts with land uses.

Forest ecosystems, especially within biodiversity hotspots, heavily rely on the often-overlooked understory herbaceous communities (USHC) for their structural integrity and ecological functions. Because of their modest stature, these communities have garnered insufficient attention from researchers. Therefore, in this study attention is focused on USHC, which attempts to fill this research gap. To achieve this, we established 105 sample plots in 2022 within forest ecosystems situated in the biodiversity hotspot of southwest China. Our investigation unveiled a rich biodiversity tapestry, identifying 424 plant species from 108 families and 284 genera. Notable were the 217 herbaceous species identified in the understory layer, representing 67 families and 163 genera. These understory herbaceous species accounted for 51.2 % of the overall species count. Through a detailed analysis, the sample plots were categorized into eight distinct communities using a two-way indicator species analysis. These communities exhibited diverse variations in species composition, diversity, biomass, and nutrient characteristics. Notably, community I (Eucalyptus robusta Smith + Rubus corchorifolius L. f. + Alternanthera philoxeroides (Mart.) Griseb.), V (Camptotheca acuminata Decne + Rubus parkeri Hance + Iris tectorum Maxim), VIII (Platycladus orientalis (L.) Franco + Viburnum dilatatum Thunb. + Cyclosorus interruptus (Willd.) H. Ito) stood out for their exceptional species diversity and productivity. Moreover, correlation analyses highlighted the substantial impact of topographic and soil factors on USHC. Altitude, soil water content, and total carbon content emerged as the primary determinants of species diversity. Biomass demonstrated close associations with total soil carbon and nitrogen. Furthermore, the nutrient characteristics displayed significant correlations with soil nutrient contents. These findings underscore the critical importance of prioritizing USHC attention in forest conservation and management strategies within biodiversity hotspots. The implications strongly advocate for the inclusion of these communities in planning and decision-making processes, emphasizing their pivotal role in maintaining structural and functional diversity in ecosystems.

Riparian soils, together with vegetation, play a crucial role in supporting biodiversity and driving biogeochemical processes within river ecosystems. Conservation of riparian soils and artificial planting are essential for river ecosystem recovery following land degradation. Researchers focus on examining soil nutrients, microbial biomass, and organic acid metabolism in the interactions between plants and soil along riverbanks. However, the seasonal responses of riparian soils to artificial plantations have been infrequently reported in the existing literature. This study investigates the influence of seasonal variations on soil conditions and the growth of artificially planted species in the riparian zones of the Three Gorges Dam Reservoir (TGDR) in China. The species sampled include Cynodon dactylon, Hemarthria altissima, and Salix matsudana. These species provide valuable insight into soil properties along riparian zones, assessing interactions across different seasons: T1 (spring), T2 (summer), and T3 (autumn). The results demonstrated significant seasonal changes in soil organic matter, ammonium nitrogen, nitrate nitrogen, and other indicators between T1 and T3. Apart from invertase activity in H. altissima soil, enzyme activity peaked during T1. Dominant soil bacteria were examined using high-throughput 16S rDNA sequencing, revealing that the available bacteria belong to 62 phyla and 211 classes. Among the most abundant were Proteobacteria and Actinobacteria, averaging over 60 % across all soil samples. Principal component analyses accounted for 62.81 % (T1), 50.57 % (T2), and 54.08 % (T3) of the variation observed in the study, indicating that soil properties were predominantly influenced by the different seasonal phases, assuming all other factors remained constant. Pearson correlation analysis (p < 0.05) identified strong positive correlations between physical properties and all three plant species during T1 (r ≤ 0.94), as well as significant negative correlations with bacterial communities in T2 and T3 (r ≤ −1.00). These findings suggest that the selected plant species are well-suited to cultivation in the riparian zone of the TGDR. This study enhances our understanding of seasonal dynamics in riparian environments, offering practical insights into their management.

OBJECTIVES This study aims to evaluate the midterm clinical and radiological outcomes of TLIF in patients with single-level lumbar disc degeneration. The focus is on assessing the procedure's effectiveness in terms of pain relief, functional improvement, and any potential complications. METHODOLOGY A retrospective cohort study was conducted at Hayatabad Medical Complex, Peshawar involving 120 patients who underwent single-level TLIF for lumbar disc degeneration between 2018-2023. The patients with a diagnosis of single-level lumbar disc degeneration confirmed by MRI, failure of conservative treatment for at least 6 months, and who underwent TLIF during the study period were included in the study. Data were collected on preoperative and postoperative pain scores, Oswestry Disability Index (ODI), and radiological parameters. SPSS version 24 was used. RESULTS The mean follow-up period was 36 months (range 24-48 months). There was a statistically significant improvement in both pain scores (p < 0.001) and ODI scores (p < 0.001). Fusion rates were high, with 92% of patients achieving solid fusion by the final follow-up. Complications were observed in 15% of the cases, with adjacent segment disease being the most common. CONCLUSION TLIF provides significant pain relief and functional improvement in patients with single-level lumbar disc degeneration at midterm follow-up. The procedure demonstrates a high fusion rate with an acceptable complication profile, making it a reliable option for this patient population

Making a nautical chart for safe navigation is a bathymetric survey’s primary goal. Multifrequency MBES have been developed over the last few decades, and their introduction has dramatically improved the efficiency, accuracy, and spatial resolution of coastal and ocean mapping. The goal of multifrequency MBES is to increase the subsurface’s detection resolution. To obtain an accurate picture of the seabed, the user can lessen the impact of this subsidence by running surveys in three different modes at once. With the help of multifrequency MBES, this study will analyze bathymetry in shallow coastal waters. The digital bathymetric model’s (DBM) frequencies are remarkably close. The depth value of the study site ranges from –20 m to–70 m with reference to lowest water surface (LWS) based on the produced DBM. Generally, the difference between 100 kHz, 200 kHz, and 400 kHz is as small as 0–30 cm, and a small part is 30–60 cm. The volume between frequencies for an area of 1 ha is between 90 m3 to 440 m3. If the thickness of the dredged sediment is 1 m, then the difference in volume between frequencies is less than 5%. The bathymetry difference between 100 kHz and 400 kHz frequencies to –10 cm is dominated by the region of 0 cm. Dredging volume inter frequency ranges from 0.042 m3/m2 to 0.068 m3/m2.

This paper aims to empirically examine whether foreign experienced CFOs (FCFOs) affect financial reporting quality (FRQ). Analyzing Chinese listed firms from 2005 to 2018, this study employs methods such as ordinary least square, fixed effect model (FEM), generalized method of moment (GMM), two-stage least square (2SLS), propensity score matching method (PSM), and change analysis to find the relationship between FCFOs and FRQ. The results show that FCFOs significantly positively impact FRQ, which means that FCFOs improve FRQ in Chinese firms. We argue that international experience imprints CFO cognition, elevates his moral standards, and makes him more transparent in dealings, leading to a better information environment and robust corporate governance mechanism. In addition, this study indicates that the relationship between FCFOs and FRQ is significant in non-state-owned enterprises (NSOEs), suggesting that NSOEs outperform state-owned enterprises (SOEs) in terms of FRQ. Finally, we find that both foreign work and study experiences of CFOs affect FRQ. The findings suggest that asymmetric information problems can be alleviated by encouraging foreign experienced individuals to the firm’s CFO position. The study provides empirical evidence that a CFO’s foreign experience determines a firm’s FRQ.

Mangroves on the islands along the Java Sea play a crucial role in supporting biodiversity, protecting coastlines, and sequestering carbon. However, there is a lack of information on mangrove structure and biomass in the area. This study aimed to assess the mangrove structures and biomass on Desa Daun, located on the Bawean Islands, and Kemujan Island, located on the Karimunjawa Islands, respectively. The study utilized a combination of line transect and quadrant plot methods with a size plot of 10x10 m. We established 7 line transects and 28 quadrant plots in the mangrove forest of Desa Daun and similarly set up 7 line transects and 21 quadrant plots on Kemujan Island. Within each quadrant, the mangrove species were identified, and their diameters at breast height (DBH) were recorded. To assess the relative significance of each species, the importance value index (IVI) was calculated, and allometric equations were applied to estimate biomass and carbon storage in the trees. PlanetScope imagery was also used to quantify the carbon stock of mangroves on those islands. In Desa Daun, 13 mangrove species were identified, while 12 species were recorded on Kemujan Island. The species Nypa fruticans and Excoecaria agallocha exhibited the highest IVI in Desa Daun and Kemujan Island, respectively. Notably, Rhizophora apiculata demonstrated the greatest biomass in both locations, with measurements of 43.08 Mg B/ha in Desa Daun and 102.22 Mg B/ha in Kemujan Island. Overall, mangrove stands on Desa Daun stored biomass of 113.60 Mg B/ha and carbon of 50.98 Mg C/ha, whereas mangrove stands on Kemujan Island stored biomass of 295.04 Mg B/ha and carbon of 131.95 Mg C/ha. Mangrove stands of the whole Bawean Islands sequestered 22,941 Mg C, while Karimunjawa Islands hold much higher C stocks, 79,451 Mg C. Despite being smaller in size, the Karimunjawa Islands have more extensive mangrove coverage compared to the Bawean Islands due to their geomorphological characteristics, which in turn influence their mangrove structures and carbon stocks. However, the loss of mangroves in the Karimunjawa Islands due to aquaculture expansions could increase carbon loss in the islands.

The complex interplay between tourism expansion and environmental conservation responsibilities necessitates the adoption of sustainable practices in aquatic ecosystems around the world. Still, existing scholarly investigations predominantly focus on the dynamics of individual rivers, resulting in considerable gaps in our comprehension of large river network systems. To redress these gaps, this study examines the potential effects of tourism development on the environmental sustainability of the Yangtze River and its tributaries in China. Furthermore, it evaluates government support and interventions aimed at strengthening environmental sustainability while proposing specific improvements. In 2023, a comprehensive survey involving 982 stakeholders provided invaluable insights into the multilayered nexus between tourism development and environmental sustainability. We analyzed carefully gathered data from a thoughtfully designed questionnaire using rigorous reliability assessments, correlation analyses, and regression techniques. Cronbach’s alpha coefficients ranging from 0.83 to 0.95 support the results, indicating robust reliability. The findings reveal predominantly positive correlations between governmental support and interventions and environmental sustainability, with visitor management showing the strongest correlation (r = 0.66**). Furthermore, regression analysis reveals that tourism development and governmental support and interventions contribute to both economic sustainability (R2 = 0.61 ∼ R2 = 0.77, ΔR2 = 16) and environmental conservation and management (R2 = 0.51 ∼ R2 = 0.62, ΔR2 = 11) in environmental sustainability. Thus, the study highlights the importance of governmental support and intervention in achieving environmental sustainability. Therefore, it advocates a coordinated approach to maximize policy formulation and implementation benefits. This study provides actionable insights for researchers, stakeholders, and policymakers alike to promote sustainable tourism practices.

Octane number value in fuel plays an important role in the performance of a 2 cylinder gasoline motor. This study aims to increase the octane number value by using octane booster. The method used by mixing RON 90 with octane booster to get engine performance consisting of torque, power, specific fuel consumption and efficiency. The results show that the addition of 3 ml of octane booster to 1 liter of RON 90 will provide an optimum value on the performance of a 2-cylinder gasoline motorcycle engine.

This study aimed to determine the sediment grain size distribution in four estuary locations in Aceh Jaya (Kuta Tuha, Lhok Geulumpang, Krueng No, Keude Unga). These findings will contribute to our understanding of sediment dynamics in estuarine environments and inform management strategies for these critical coastal habitats. The methods used in this study, such as mean, sorting, skewness, and kurtosis, and determination of sediment textural with ternary plot, were used to determine the sediment grain size distribution. In Addition, it will examine the relationship between sediment grain size composition and spatial distance to mouth bar using the Spearman correlation. Composition sediment at all locations dominated by fine sand. Grain size variations (26.735 – 198.709 μm) show that at all locations mainly consists of very fine sand whereas at Kuta Tuha combination of fine sand and medium sand. The variations of sorting (1.193 – 2.59), skewness (-0.625 – 0.876) and kurtosis (0.46 – 6.883) indicate moderately sorted, very coarse skewed, and very platykurtic sediments. Textural sediment classified as sand, silty sand, and very slightly silty sand. We also found positive correlation between spatial distance from mouth bar and sediment composition. These findings will contribute to our understanding of sediment dynamics in estuarine environments and inform management strategies. Keywords: Sediment grain distribution Textural of sediment Aceh Jaya Estuary Sorting Skewness

In the current article, we consider a class of bounded turning functions associated with the cosine hyperbolic function and give some results containing coefficient functionals using the familiar Carathéodory functions. An improvement on the bound of the third-order Hankel determinant for functions in this class is provided. Furthermore, we obtain sharp estimates of the Fekete-Szegö, Krushkal, and Zalcman functionals with logarithmic coefficients as entries. All the findings are proved to be sharp.

Abstract Background Natural and synthetic plant growth regulators are essential for plant health, likewise these regulators also play a role in increasing organic production productivity and improving quality and yield stability. In the present study, we have evaluated the effects of foliar applied plant growth regulators, i.e., moringa leaf extract (MLE) and mepiquat chloride (MC) alone and in combination MC and MLE on the conventional cotton cultivar (CIM 573) and transgenic one (CIM 598). The growth regulators were applied at the start of bloom, 45 and 90 days after blooming. Results The application of MC and MLE at 90 days after blooming significantly improved the relative growth rate, net assimilation rate, the number of bolls per plant, and seed cotton yield. Likewise, the combined application of MLE and MC at 90 days after blooming significantly boosted the nitrogen uptake in locules, as well as the phosphorus and potassium uptake in the leaves of both cotton cultivars. The application of MLE alone has considerably improved the nitrogen uptake in leaves, and phosphorus and potassium contents in locules of Bt and conventional cotton cultivars. Similarly, Bt cotton treated with MLE at 90 days after blooming produced significantly higher ginning out turn and oil contents. Treatment in combination (MLE + MC) at 90 days after blooming produced considerably higher micronaire value, fiber strength, and staple length in conventional cultivar. Conclusion The natural growth enhancer, MLE is a rich source of minerals and zeatin, improving the nutrient absorption and quality of cotton fiber in both conventional and Bt cotton cultivars.

Abstract Background Drug targets in living beings perform pivotal roles in the discovery of potential drugs. Conventional wet-lab characterization of drug targets is although accurate but generally expensive, slow, and resource intensive. Therefore, computational methods are highly desirable as an alternative to expedite the large-scale identification of druggable proteins (DPs); however, the existing in silico predictor’s performance is still not satisfactory. Methods In this study, we developed a novel deep learning-based model DPI_CDF for predicting DPs based on protein sequence only. DPI_CDF utilizes evolutionary-based (i.e., histograms of oriented gradients for position-specific scoring matrix), physiochemical-based (i.e., component protein sequence representation), and compositional-based (i.e., normalized qualitative characteristic) properties of protein sequence to generate features. Then a hierarchical deep forest model fuses these three encoding schemes to build the proposed model DPI_CDF. Results The empirical outcomes on 10-fold cross-validation demonstrate that the proposed model achieved 99.13 % accuracy and 0.982 of Matthew’s-correlation-coefficient (MCC) on the training dataset. The generalization power of the trained model is further examined on an independent dataset and achieved 95.01% of maximum accuracy and 0.900 MCC. When compared to current state-of-the-art methods, DPI_CDF improves in terms of accuracy by 4.27% and 4.31% on training and testing datasets, respectively. We believe, DPI_CDF will support the research community to identify druggable proteins and escalate the drug discovery process. Availability The benchmark datasets and source codes are available in GitHub: http://github.com/Muhammad-Arif-NUST/DPI_CDF .

OBJECTIVES: To determine the seroprevalence of SARS-CoV-2 antibodies (IgM, IgG) in school-age children and identify the predominant symptoms in seropositive children in the Swabi district of Khyber Pakhtunkhwa, Pakistan. METHODS: This descriptive cross-sectional study was conducted from November 2020 to May 2021. Blood samples from 246 randomly selected children (aged 5-16 years) in Swabi district of Pakistan were analyzed using ELISA. The study focused on the general pediatric population, excluding those over 16 years, with chronic illnesses, or whose parents declined participation. Data was collected through a structured questionnaire. RESULTS: Among 246 participants, 5 (2.03%) individuals tested positive for IgM and 58 (23.6%) for IgG antibodies, totaling 63 (25.6%) participants with both IgM & IgG antibodies. Mean age of seropositive and seronegative children was 11.2±3.0 and 10.3±2.98 years respectively (p=0.030). Out of 63 seropositive children, 51 (80.96%) were symptomatic, and 12 (19.04%) were asymptomatic. Common symptoms among seropositive individuals included fever (98.0%, n=50/51), cough (88.02%, n=45/51), sore throat (78.4%, n=40/51), coryza (66.7%, n=34/51), myalgia (60.8%, n=31/51), and loss of smell and taste (49.0%, n=25/51). The mean antibody titer was 20.9±10.41 IU/ml and 13.35±5.6 IU/ml for symptomatic and asymptomatic individuals respectively (p=0.013). CONCLUSION: In our study, approximately one fourth of the participants tested positive for SARS-CoV-2 antibodies, predominantly IgG. Females exhibited higher seropositivity than males, with a significant association between seropositivity and exposure to confirmed COVID-19 cases. Symptomatic cases comprised 80.95% of seropositive individuals, with predominant symptoms of fever, cough, and sore throat. Symptomatic individuals had a higher mean antibody titer.

Pengendalian hayati menggunakan parasitoid seringkali disertai dengan aplikasi insektisida sintetis. Aplikasi pengendalian secara bersamaan tersebut masih mengalami kendala yaitu penggunaan insektisida yang tidak hanya membunuh hama target namun juga mempengaruhi keberadaan parasitoid yang memiliki peran penting dalam menekan perkembangan populasi hama. Penelitian ini bertujuan untuk mengetahui pengaruh bahan aktif dimehipo dan fipronil tersebut terhadap mortalitas dan kemunculan T. chilonis. Metode pengujian menggunakan metode uji Fresh Residue Contact. Proses perbanyakan T. chilonis meliputi pembiakan inang C. cephalonica, persiapan pias dan pembiakan T. chilonis. Pengujian residual insektisida dengan bahan aktif dimehipo dan fipronil menggunakan konsentrasi anjuran lapang paling rendah yaitu masing-masing 0.75 ml/l. Parameter pengamatan pada penelitian ini meliputi mortalitas, kemunculan imago, dan morfologi serangga setelah aplikasi insektisida. Data mortalitas dianalisis menggunakan sidik ragam (ANOVA) dan dilakukan uji lanjut DMRT. Hasil penelitian menunjukan bahwa insektisida berbahan aktif dimehipo dan fipronil berpengaruh berbahaya terhadap mortalitas imago T. chilonis. Persentase kemunculan imago T. chilonis perlakuan insektisida dimehipo dan fipronil yaitu 21.56%, dan 34.89%. Aplikasi insektisida tersebut mengakibatkan imago T. chilonis mengalami abnormalitas pada bagian sayap yang mengerut, berkurangnya rumbai-rumbai pada tepi sayap dan tubuh serangga tampak mengkerut dan mengering. Hasil penelitian menunjukan insektisida berbahan aktif dimehipo dan fipronil berbahaya terhadap T. chilonis sehingga akan menurunkan efektivitas pengendalian hayati yang dilakukan.

Azo dyes are commonly used in textile industries; however, when these dyes cross the permissible limit set by the World Health Organization, they produce many health issues related to the brain, liver, kidneys, respiration, and sexual system. Herein, polyvinyl pyrrolidone (PVP)-supported manganese oxide (MnO2) was studied for azo dye removal from an aqueous medium. The adsorption mechanism study demonstrated that the dye adsorption by MnO2–PVP composite was not only due to the electrostatic force of attraction but also involved the ion exchange amid the hydroxide group and dye molecules. The surface area of the composite (120 m2 g−1) was larger than that of metal oxide (102 m2 g−1). The point of zero charge and surface area were improved from 5.2 and 102 to 5.6 and 120 m2 g−1, respectively. The dye removal capacity of MnO2–PVP composite was significantly higher than that of plain MnO2. The film diffusion control adsorption kinetic mechanism and the kinetic data were well fitted to the pseudo-second-order equation. Experiments were conducted as a function of initial dye concentration (5–200 mg L−1), pH (3–10), temperature (298–328 K), and adsorbent dosage (0.05–0.4 g) in batch adsorption systems. The thermodynamic investigations confirm that the dye adsorption process was endothermic in nature. HIGHLIGHTS The polyvinyl pyrrolidone (PVP)/MnO2 composite was synthesized by the solvothermal method.; The adsorption capacity of PVP/MnO2 was higher than plain metal oxide.; Detail adsorption mechanism was studied by kinetic models.; PVP/MnO2 could be used as a candidate in the water filtration assembly of dyes.; Detail characterization of the plain and composite metal oxides was performed.;

Impulse buying is characterized by quick and unplanned purchasing decisions often triggered by perceived necessity or attractive offers. Minimarkets operate on a smaller scale than hypermarkets and supermarkets but significantly influence consumer behavior, mainly because they use various promotional strategies. This study aims to determine the effect of price discounts and store atmosphere on impulse buying behavior through positive emotions. This study was conducted in Medan, North Sumatra, Indonesia, using a non-probability sampling approach; an online questionnaire was used to collect data from 180 participants through Google Forms. The data were analyzed using structural equation modeling (SEM) and partial least square (PLS) estimation methods. The results showed that price discounts and store atmosphere significantly affect positive emotions and impulse buying (p < 0.05). Positive emotions significantly affect impulse buying (p < 0.05). In addition, price discounts and store atmosphere affect impulse buying through positive emotions (p < 0.05). This study uncovers the complex mechanisms underlying consumer responses in the convenience store landscape, providing important insights for retailers and marketers in navigating the evolving retail terrain. AcknowledgmentThis research was funded by the Revenue and Expenditure Budget of the Universitas Muhammadiyah Sumatera Utara following the assignment agreement letter in the context of implementing the Basic Research Program of the Revenue and Expenditure Budget of the Muhammadiyah University of North Sumatra for the 2023 Fiscal Year, Number: 94/II.3- AU /UMSU-LP2M/C/2023.

Cognitive radio network (CRN) is getting growing interest of the researchers due to its wide applicability for spectrum sharing with massive number of active devices in Internet of Things (IoT). In existing schemes, a large part of the spectrum may remain underutilized which was assigned to service providers as primary users (PU). Secondary user (SU) may be the alternative to use the spectrum. The main challenge is that SU keeps on sending the packets in an incremental manner until a free channel is found in real conditions. It results in excessive communication and packet loss. This paper presents an efficient tree-centric approach where a centralized base-station maintains a tree of available channels and intelligently allocate to the SUs as per the real-time availability of channels. It analyzes for the effective usage of these channels by the SUs. It also manages the authenticated SUs to avoid any interference due to the hidden node problem. A number of extensive simulations are performed using network simulator. The existing instantaneous approaches require 10 to 12 attempts to send request for acquiring free channel with an average delay of 315 ms, the Hybrid-P1 and Hybrid-P2 approaches consumed 4 requests each with a delay of 128 ms to 135 ms. Our proposed CDC mechanism achieves a channel access mostly in 1 to 2 requests with an average delay of about 72 ms. Results are extracted from the trace files that prove the dominance of proposed scheme.

3D printing technology is growing swiftly in the construction sector due to its numerous benefits, such as intricate designs, quicker construction, waste reduction, environmental friendliness, cost savings, and enhanced safety. Nevertheless, optimizing the concrete mix for 3D printing is a challenging task due to the numerous factors involved, requiring extensive experimentation. Therefore, this study used three machine learning techniques, including Gene Expression Programming (GEP), Multi-Expression Programming (MEP), and Decision Tree (DT), to forecast the compressive strength of 3D printed fiber-reinforced concrete (3DP-FRC). The dataset comprises 299 data points with sixteen variables gathered from experimental research studies. For training the model, 70 % of the dataset was used, while the remaining 30 % was reserved for model testing. Several statistical metrics were utilized to evaluate the accuracy and applicability of the models. In addition, SHapley Additive exPlanations (SHAP), partial dependence plots, and individual conditional expectations approach were employed for the interpretability of the models. The proposed GEP, MEP, and DT models indicated enhanced efficacy, exhibiting correlation coefficient (R) scores of 0.996, 0.987, and 0.990, with mean absolute errors (MAE) of 1.029, 4.832, and 2.513, respectively. Overall, the established GEP model demonstrated exceptional performance compared to MEP and DT, showcasing high prediction precision in assessing the strength of 3DP-FRC. Moreover, a simple empirical formulation has been devised using GEP to predict the compressive strength, offering a simplified and efficient approach for predicting 3DP-FRC strength. The SHAP approach identified water, silica fume, fiber diameter, curing age, and loading directions as leading controlling parameters in predicting strength of 3DP-FRC. In summary, the proposed models can potentially minimize both the computational workload and the need for experimental trials in formulating the mixed design of 3D-printed concrete.

Archimedes screw turbine is a hydropower machine with a cylindrical shaft and a helical screw-shaped blade. This study determines the appropriate outer diameter of the turbine by considering internal parameters, such as pitch ratio and radius ratio, along with the influence of inclination angle and varying flow rates. A procedural design calculation method is proposed, integrating existing models for power output, flow rate capacity, and losses from various previous literature. The findings reveal that the pitch ratio significantly affects the outer diameter, indicating that higher pitch ratios correspond to smaller diameters. Furthermore, the radius ratio exhibits a minimum point at 0.45, resulting in the smallest diameter. The inclination angle also impacts the outer diameter, with larger angles leading to increased diameters. For instance, at the highest flow rate of 1.0 m3/s, an inclination angle of 50° yields an outer diameter of 4.94 m, while an angle of 20° results in 1.76 m. The study identifies an optimum efficiency of nearly 0.91 at a 34° inclination angle, with efficiency sharply declining beyond 40°. Designing Archimedes screw turbine for higher flow rates increases outer diameter, enhancing torque production and overall efficiency. The proposed calculation procedure ensures an appropriate design to accommodate flow rates and prevent overflow leakage. This study provides insights into determining the outer diameter of Archimedes screw turbines. By considering internal parameters, inclination angle, and varying flow rates, the proposed design calculation method enables proper turbine design. These findings offer practical insights for implementing Archimedes screw turbine designs.

AbstractAsian economies are extremely vulnerable to climate due to rapid economic progress, poor governance structure and governmental performance. Keeping in view the fragility of Asia economies in context of environmental deterioration, we examine the role of climate change in shaping economic progress based on an extensive dataset of 47 Asia economies over the period of 2010–2020 through advance panel estimation models such as FMOLS and DOLS for long-run relationships, and panel-VECM for granger causality. The finding suggests a long run positive impact of climate change on economic progress. Further, the results also support the bi-directional relationship between climate change and economic development in Asia region. Hence, the current research suggest that proper policies should be warranted to balance government effectiveness for the increased implementation of environmental regulations and economic prosperity to meet the needs of society and maintain environmental sustainability in the long run.

Objective: To provide evidence that application of Enhanced Recovery after Surgery Protocol can promote rapid recovery of surgical patients in addition to reduction of duration of hospital stay. Study Design: Quasi-experimental study. Place and Duration of Study: Sheikh Khalifa Bin Zayad Alnayan Hospital, Rawalakot Azad Kashmir Pakistan, from Jan 2019 to Jun 2020. Methodology: Respondents included 210 surgical patients from discipline of Otorhinolaryngology, General Surgery, Urology, Gynecology and Obstetrics. Patients were randomly divided into two equal groups by odd and even numbers. Group-A included 105 surgical patients who were managed by conventional protocol. Group-B included 105 surgical patients who were managed by Enhanced Recovery after Surgery Protocol. Results: Enhanced Recovery after Surgery Group (Group-B) was found to have shorter preoperative fasting time (146.4±0.47 vs 633.6±1.55 minutes, p

Sexual violence is a criminal act which basically requires very strict law enforcement. The dimensions of sexual violence regulated in the Criminal Code are not yet able to fully regulate the forms of sexual violence that occur, where regulations related to sexual violence are regulated in articles 281-295 of the Criminal Code which have limited clarification. on rape and molestation. So, with the enactment of law number 12 of 2022 concerning criminal acts of sexual violence (UU TPKS) on May 9 2022, it becomes the new legal basis for enforcing criminal acts of sexual violence. The TPKS Law becomes a specialist Lex for regulations previously contained in the Criminal Code. The presence of the TPKS Law is a new positive law that provides clear and specific updates regarding the types of criminal acts that are classified as criminal acts of sexual violence, the rights of victims of criminal acts of sexual violence, as well as protection for victims of criminal acts of sexual violence in law enforcement. The formulation of the problem in this research is how to compare legal regulations and legal protection between the Criminal Code and Law number 12 of 2022 regarding criminal acts of sexual violence. This research uses normative juridical research methods, using secondary data sources, with primary legal materials in the form of related laws which are supported by secondary legal materials in the form of related books and journals. Based on the results of this research, the research results will be summarized as to what the position of victims is. criminal acts of sexual violence which are in the Criminal Code and Law no. 12 of 2002 which regulates different legal provisions and legal protection which in the Criminal Code is not clearly regulated regarding legal protection for victims of criminal acts of sexual violence which in law number 12 of 2002 is clearly regulated regarding the protection of victims and prevention efforts against the occurrence of criminal acts of sexual harassment.

This study is motivated by the phenomenon that many students of SMK N 1 Batealit unconsciously have low academic resilience, with several influencing factors including optimism and teacher social support. The purpose of this study was to empirically determine the relationship between optimism and teacher social support on academic resilience in students of SMK N 1 Batealit. The population of this study was a group of 12th grade students of SMK N 1 Batealit totaling 12 classes which included automotive engineering, accounting and financial institutions, culinary, office management and business services, agribusiness of agricultural product management, and agribusiness of agricultural and horticultural technology, with cluster random sampling technique involving 60 students. This research uses a quantitative approach with a correlation method. Data collection tools are academic resilience scale, optimism scale, and teacher social support scale. The results of data analysis showed the coefficient value of R=0.532, F=6.705, and p=0.004 (p

Phishing is a sort of cyberattack that refers to the practice of fabricating fake websites that imitate authentic websites in order to trick users into disclosing private information. Identifying these fake sites is challenging due to their deceptive nature as they often mimic legitimate websites, making it difficult for users to distinguish between the real and fake ones. Artificial Neural Network (ANN) is one popular method for website phishing detection. ANN is capable of detecting phishing websites by identifying patterns and characteristics connected to phishing websites through a network training phase. Technically, in the network training phase of ANN, neurons on the network must be passed over. There are multiple techniques in training the network, one of which is training with metaheuristic algorithms. Metaheuristic algorithms that aim to develop more effective hybrid algorithms by combining the good and successful aspects of more than one algorithm are algorithms inspired by nature. Therefore, this study proposed a hybrid Honey Badger Algorithm with Artificial Neural Network (HBA-ANN) classification model. HBA as metahueristic algorithm is used to optimize the network training process of ANN to improve their performances. Three main steps made up the proposed HBA-ANN classification model: setting up the experiment, optimizing HBA for network training, and network testing. Lastly, the performance of the proposed HBA-ANN classification model is assessed in terms of recall, precision, F1-score, accuracy and error rate using the confusion matrix that was generated for analysis. The proposed hybrid HBAANN was found to be effective in identifying the phishing website after conducting an experimental and statistical analysis.

Objective: To compare the outcomes of transversus abdominis plane (TAP) block versus local wound infiltration (LAI) for postoperative analgesia in patients undergoing total abdominal hysterectomy (TAH). Methods: This randomized controlled trial was conducted at Dr. Ziauddin Hospital & Medical College, Karachi, Pakistan from December 2023 to May 2024. Female patients aged 18 to 50 years, and scheduled for TAH under general anesthesia were included. Patients were randomly allocated to the TAP group or the LAI group using sealed opaque envelopes. The primary outcome was pain score at different time intervals postoperatively. Pain score measured using the Visual Analogue Scale. Secondary outcomes included total analgesia consumption within 24 hours. Results: Of total 100 patients, the median (IQR) age was 50.0 (47.2-55.0) years. At 8 hours postoperatively, the median pain score was significantly lower in the TAP group 0.0 (0.0-1.0) compared to the LAI group 1.0 (0.0-2.0) (p-value

This study aims to look at the determinants of foreign investment on economic growth in North Sumatra province from 2011 to 2023. The variables of foreign investment determinants are inflation, minimum wage, and labor. Data collection techniques using secondary data, namely annual reports published by the government, data analysis techniques using panel data tests, model suitability tests, panel data regression common effect models (CEM), multicollinearity tests, heteroscedasticity tests, t-tests, F tests, and determination coefficients processed with Eviews 9 software. The results of this study indicate that the determinants of foreign investment partially with the inflation variable do not affect economic growth, the minimum wage variable has a negative and significant effect on economic growth by 1.58 percent, the labor variable has a positive and significant impact on economic growth by 1.25 percent and simultaneously the determinants of foreign investment have a positive and significant effect on economic growth with a contribution of 35.16 percent.