Regular Application Research Articles

Employee well-being in the digital age: Assessing the impacts of a smartphone application in the workplace

Recently, providing smartphone-based health-improving applications to employees has emerged as a promising strategy for sustaining their well-being. This study estimates the impact of the routine use of an application, introduced in 2020 by a Japanese manufacturing company, on various health-related behaviours and outcomes among employees by exploiting a distinctive large-scale longitudinal dataset and personnel records. The analysis addresses potential selection biases arising from the non-random nature of application usage by employing the instrumental variable approach. Regular application use generates significant positive impacts on health-related habits, including moderate alcohol consumption, regular breakfast intake and refraining from eating two hours before bedtime. Furthermore, regarding physical and psychological stress, noteworthy reductions in physical burden and less frequent experiences of annoyance are observed. Employees also report a lower frequency of dizziness, headaches and palpitations, albeit an increase in the frequency of strained eyes is noted. Additionally, application use is associated with lower systolic and diastolic blood pressure, as well as decreased levels of triglycerides and gamma-GTP.

Probabilistic geophysical inversion of complex resistivity measurements using the Hamiltonian Monte Carlo method

Summary In this work, we introduce the probabilistic inversion of tomographic complex resistivity (CR) measurements using the Hamiltonian Monte Carlo (HMC) method. The posterior model distribution on which our approach operates accounts for the underlying complex-valued nature of the CR imaging problem accurately by including the individual errors of the measured impedance magnitude and phase, allowing for the application of independent regularization on the inferred subsurface conductivity magnitude and phase, and incorporating the effects of cross-sensitivities. As the tomographic CR inverse problem is non-linear, of high dimension and features strong correlations between model parameters, efficiently sampling from the posterior model distribution is challenging. To meet this challenge we use HMC, a Markov-chain Monte Carlo method that incorporates gradient information to achieve efficient model updates. To maximize the benefit of a given number of forward calculations, we use the No-U-Turn sampler (NUTS) as a variant of HMC. We demonstrate the probabilistic inversion approach on a synthetic CR tomography measurement. The NUTS succeeds in creating a sample of the posterior model distribution that provides us with the ability to analyze correlations between model parameters and to calculate statistical estimators of interest, such as the mean model and the covariance matrix. Our results provide a strong basis for the characterization of the posterior model distribution and uncertainty quantification in the context of the tomographic CR inverse problem.

In-vitro and in-vivo assessment of the bactericidal potential of peracetic acid and hydrogen peroxide disinfectants against A. hydrophila infection in Nile tilapia and their effect on water quality indices and fish stress biomarkers

This study aimed to assess the in vitro and in vivo disinfectant potential of peracetic acid (PAA) (1 mg/L) and hydrogen peroxide (H2O2) (20 mg/L) on the physicochemical and microbiological water quality parameters of fish aquaria, the microbial density of Nile tilapia muscular tissue, fish hepatic cortisol levels, and antioxidant biomarkers. In vitro, PAA and H2O2 reduced A. hydrophila colony viability by 5 log units after 30 and 5 min of contact time, respectively. PAA and H2O2 were added to aquaria water twice a week for the three-week experiment. Increased fish escape reflexes were observed only in the PAA group, which returned to normal within 10 min. No mortalities were reported in either the PAA or H2O2 groups. An in vivo experimental challenge with a pathogenic strain of A. hydrophila revealed a 20% reduction in mortality in the PAA group, with no mortalities in the H2O2 group. Cortisol levels and antioxidant markers were measured to assess the impact of PAA and H2O2 on fish health. Cortisol levels in the PAA and H2O2 groups were significantly higher than in the control group after disinfectant exposure, but they progressively returned to normal. A significant reduction in superoxide dismutase (SOD) and catalase (CAT) activity, along with considerably higher glutathione peroxidase (GPx) and malondialdehyde (MDA) enzymatic activity, was observed in the PAA and H2O2 groups compared to the control group. A substantial increase in total antioxidant capacity (TAC) was recorded in the PAA group. Physicochemical analyses revealed reduced pH and increased dissolved oxygen levels in the PAA and H2O2 groups. Microbiological analyses showed a significant reduction in bacterial density in water by 64% and 76% after 30 min of exposure to PAA and H2O2, respectively, with a non-significant increase in microbial count after bacterial challenge. Additionally, aerobic bacterial count, Aeromonas spp., and psychotropic bacterial count in fish muscle showed a significant reduction in the H2O2 group compared to the PAA and control groups before and after infection. The study concludes that regular application of PAA and H2O2 can temporarily reduce bacterial load in aquaria and fish muscle, regulate stress responses, and improve fish health by reducing A. hydrophila-induced infections and improving survival.

A novel ultra-light bio-based fiberboard from mexican feather grass for thermal and acoustic insulation in green building construction applications

The use of natural fibers as raw materials for insulation fiberboard production is emerging as a strategy to replace wood fibers. This study developed an ultralightweight natural fiber insulation core fiberboard (CFB) with high mechanical strength, hygroscopic resistance, and excellent acoustic and thermal insulation properties. This study examined the production of CFB, which utilizes Mexican feather grass fibers with an epoxy resin binder across a range of densities of 0.18–0.36 g∙cm−3. Furthermore, the impact of incorporating a reinforcing skin layer of woven glass fibers on the core fiberboard's physical, mechanical, acoustic, and thermal properties was evaluated. All the fiberboard samples exhibited excellent thermal conductivity values (0.048–0.057 W/mK), which increased with increasing panel density (0.18–0.36 g∙cm−3). In addition, all of them displayed superior mechanical properties following the ASTM C208 standard. In terms of climatic resistance of the fiberboards, the results displayed excellent water resistance, exhibiting minimal humidity content (<5 %), thickness swelling (<6.5 %), and a hydrophobic surface, as indicated by the high-water contact angle (>121.96 at 30 s). Sound reduction exhibited a frequency-dependent tendency, with denser and sandwich fiberboards showing greater sound reduction of up to 27.9–36.56 dB at 3150 Hz for CFB-0.36 and SFB-0.52, respectively. Following ASTM C208, both core fiberboards and those coated with woven glass fiber skins (sandwich fiberboards, SFB) met the thermomechanical property requirements for regular and structural wall sheathing applications, respectively. These findings highlight the potential of Mexican feather grass as a bio-based alternative to wood, enabling the production of eco-friendly ultralightweight fiberboards with excellent thermomechanical properties suitable for building construction, such as regular and structural wall sheathing applications and ceiling decorations.

Hydroponic Lettuce Cultivation with Organic Liquid Fertilizer: Examining Bacterial Inhibition and Phosphate Solubilization

This study explores organic hydroponic cultivation as a sustainable alternative to chemical fertilizers amid global supply challenges. With rising costs and the depletion of conventional nitrogen sources, organic liquid fertilizers are gaining attention for their microbial enrichment processes (MEP) that convert organic matter into plant-accessible nutrients. This experiment focuses on lettuce cultivation using two organic liquid fertilizers, Power Fish and POF vol. 2, in controlled environments. The results show that there are significant differences in plant growth parameters such as leaf number, fresh weight, chlorophyll content, and root length across different fertilizer treatments. Key findings include that effective management practices, including pH control and regular nutrient application, are crucial for maintaining microbial activity and optimizing nutrient uptake efficiency. Additionally, Bacillus sp. and Xanthomonas sp. were isolated from these fertilizers and dual-cultured with rot fungi, Pythium sp. and Fusarium sp. This dual cultivation demonstrated inhibitory activity against these pathogens, showcasing the potential of these microorganisms in promoting biofilm-mediated disease resistance in organic hydroponic systems. The study also emphasizes the phosphate solubilization capabilities of isolated bacteria, essential for sustainable nutrient cycling. Overall, organic hydroponic systems present a promising strategy for sustainable agriculture, reducing dependency on chemical inputs while enhancing crop productivity and resilience to environmental stressors.

NTK-Guided Few-Shot Class Incremental Learning.

The proliferation of Few-Shot Class Incremental Learning (FSCIL) methodologies has highlighted the critical challenge of maintaining robust anti-amnesia capabilities in FSCIL learners. In this paper, we present a novel conceptualization of anti-amnesia in terms of mathematical generalization, leveraging the Neural Tangent Kernel (NTK) perspective. Our method focuses on two key aspects: ensuring optimal NTK convergence and minimizing NTK-related generalization loss, which serve as the theoretical foundation for cross-task generalization. To achieve global NTK convergence, we introduce a principled meta-learning mechanism that guides optimization within an expanded network architecture. Concurrently, to reduce the NTK-related generalization loss, we systematically optimize its constituent factors. Specifically, we initiate self-supervised pre-training on the base session to enhance NTK-related generalization potential. These self-supervised weights are then carefully refined through curricular alignment, followed by the application of dual NTK regularization tailored specifically for both convolutional and linear layers. Through the combined effects of these measures, our network acquires robust NTK properties, ensuring optimal convergence and stability of the NTK matrix and minimizing the NTK-related generalization loss, significantly enhancing its theoretical generalization. On popular FSCIL benchmark datasets, our NTK-FSCIL surpasses contemporary state-of-the-art approaches, elevating end-session accuracy by 2.9% to 9.3%.

Delving into diversity: Exploring different risk factors of premature greying of hair.

Dear Madam, Hair is said to grey prematurely when a minimum of five grey hairs occur before the age of 20 in Caucasians, 25 in Asians and 30 in Africans1. Some authors propose using 25 years as a cut-off for people in the South Asian subcontinent. Also, there's no universal grading system for premature greying of hair (PGH). This letter addresses the various evolving risk factors for PGH in young adults worldwide. PGH may be familial or genetically influenced, traveling in an Autosomal Dominant pattern. A positive family history, in particular the paternal history is the most powerful risk factor2. PGH is also linked to nutritional deficiencies including vitamins (especially B12) and minerals. For example in one study, significantly lower levels of serum calcium, ferritin, vitamin B12, and high HDL were observed in patients3. T3 and T4 act on hair follicles to cause melanogenesis and their deficiency is therefore associated with PGH, alopecia, and changes in hair morphology. Another study found notably reduced levels of copper in cases (PGH) as compared to the control group. This study, however, did not observe lower levels of zinc or iron among the affected population. A separate case-control study concerning the association of epidemiological and biochemical factors with PGH reported that a significantly higher percentage of individuals with premature greying had atopic diathesis, led sedentary lifestyles, had family histories of the condition, smoked, and had reported higher levels of perceived stress compared to controls. Though, interestingly enough, regular application of hair oil seemed to confer a safeguarding effect against premature greying. Upon further review of the literature, it became apparent that both BMI and exposure to sunlight emerged as substantial predictors of PGH. Despite the prescription of various vitamins and minerals like biotin, calcium pantothenate, zinc, copper, and selenium (all of which have been recognized as risk factors), the outcomes have been disappointing. Calcium pantothenate is frequently recommended for premature greying of hair (PGH)4. This highlights an existing knowledge gap concerning the precise causative risk factors, necessitating further investigation for a comprehensive understanding and improved management of individuals experiencing premature greying of hair.

Effectiveness evaluation of cooling measures for express highway construction in permafrost regions based on GPR and ERT

Global warming and human activities are accelerating the degradation of permafrost on the Qinghai-Tibet Plateau (QTP), leading to significant settlement and cracking issues in the local express highway infrastructures. In response, the Gonghe-Yushu Express Highway (GYE) on the east edge of the QTP incorporated extensive cooling measures during its construction to enhance embankment stability. Despite these efforts, field investigations have disclosed that embankment diseases persist across various sections, including those with implemented cooling measures. This study focuses on a specific test and demonstration section of the GYE, employing a suite of cooling measures to assess their engineering effectiveness. Utilizing a combination of multi-time ground-penetrating radar (GPR) and electrical resistivity tomography (ERT) detection, alongside on-site disease investigations and temperature monitoring, this research comprehensively evaluates the efficacy of different cooling interventions. Findings indicate that although cooling measures generally curb permafrost degradation in areas with ice-rich and ice-saturated soils, they fall short in sections with massive ground ice. Of the six cooling measures examined in the demonstration section, ventilation duct embankments emerge as the most effective, whereas crushed-rock layer embankments rank as the least. The study further reveals that the combined use of XPS insulation boards and two-phase closed thermosyphons inadequately addresses the issue of central heat accumulation in broad-width express highways, reducing uneven settlement issues but aggravating longitudinal cracking. Comparative analysis of on-site surveys and monitoring data suggests that regular application of GPR and ERT techniques can proficiently assess the performance of cooling measures.

Implementation of the updated Sydney system biopsy protocol improves the diagnostic yield of gastric preneoplastic conditions: Results from a real-world study

BackgroundThe updated Sydney system biopsy protocol (USSBP) standardizes the sampling of gastric biopsies for the detection of preneoplastic conditions (e.g., gastric intestinal metaplasia [GIM]), but the real-world diagnostic yield is not well-described. AimTo determine whether regular application of USSBP is associated with higher detection of chronic atrophic gastritis (CAG), GIM and autoimmune gastritis (AIG). MethodsWe performed a real-world retrospective study at an academic urban tertiary hospital in Chile. We manually reviewed medical records from consecutive patients undergoing esophagogastroduodenoscopy (EGD) from January to December 2017. Seven endoscopists who performed EGDs were categorized into two groups (USSBP ‘regular’ and USSBP ‘infrequent’) based on USSBP adherence, using minimum 20% adherence as the prespecified threshold. Multivariable logistic regression models were used to estimate the odds ratios (aOR) and 95% confidence intervals (CI) for the association between endoscopist groups and the likelihood of diagnosing CAG, GIM or AIG. Results1206 patients were included in the study (mean age: 58.5; 65.3% female). The USSBP regular group demonstrated a higher likelihood of detecting CAG (20% vs. 5.3%; aOR 4.03, 95%CI: 2.69–6.03), GIM (12.2% vs. 3.4%; aOR 3.91, 95%CI: 2.39–6.42) and AIG (2.9% vs. 0.8%; aOR 6.52, 95%CI: 1.87–22.74) compared to infrequent group. Detection of advanced-stage CAG (Operative Link for Gastritis Assessment stage III/IV) was significantly higher in the USSBP regular vs. infrequent group (aOR 5.84, 95%CI: 2.23–15.31). ConclusionsRoutine adherence to USSBP increases the detection rates of preneoplastic conditions, including CAG, GIM and AIG. Standardized implementation of USSBP should be considered in high gastric cancer risk populations.

Elucidating disparities in sunscreen coverage among state Medicaid preferred drug lists.

Regular application of over-the-counter (OTC) sunscreen is considered the foundation of skin cancer prevention, yet OTC sunscreen is not eligible for reimbursement in almost all state Medicaid benefit plans. On review of 111 Medicaid preferred drug lists (PDLs) across 50 states and the District of Columbia (DC), only five plans were identified that incorporate coverage of sunscreen. Thus, many recipients of Medicaid, the majority of whom are individuals and families of lower socioeconomic status, may encounter financial difficulty and thus forego utilizing sun protective measures due to financial constraints. Here, we compare current Medicaid coverage of OTC sunscreen and discuss calculated and theoretical annual costs of this skin cancer prevention method.

Content quality and reliablity of YouTube™ videos as a source of information about good oral hygiene practices in adults.

Good oral hygiene is crucial for preventing dental caries and periodontal diseases. However, proper and regular application of oral hygiene practices requires adequate knowledge. In recent years, the internet has become one of the most popular places to find health-related information, necessitating studies that analyze the quality of the content available online. The purpose of the present study was to analyze the content quality and reliability of YouTube™ videos on the topic of adult oral hygiene practices and to guide oral health care professionals who use this platform for patient education. A YouTube™ search was performed of the most frequent search term, 'dental hygiene'. A total of 150 videos were screened, and 51 were included in the final study. The characteristics, sources, and content of the videos were analyzed using the Global Quality Score (GQS) and DISCERN reliability indices. The IBM SPSS 25 program was used for statistical analyses. Most of the included videos were uploaded by oral health care professionals (63%). GQS revealed only 17.6% of the videos were excellent quality whereas 23.5% of them were poor quality. In the content analysis, 62.7% of the videos were deemed moderately useful. Video duration, total content score, and interaction indices were all significantly higher in the useful and very useful groups compared to the slightly useful group (p = 0.020, p < 0.001, p = 0.040). GQS had a positive, low-medium statistically significant correlation with both video duration and total content scores (r = 0.235, r = 0.517; p < 0.05). DISCERN score also had a positive, low-medium statistically significant correlation with total content score (r = 0.500; p < 0.05). The study concluded that most YouTube™ videos on oral hygiene practices for adults are moderately useful. When using YouTube™ for patient education, oral health care professionals and organizations should be aware of low-quality videos and seek out accurate, useful videos. There is also a need for quality videos with expanded oral health content.

The Significance of Provisional Patent Applications in Protecting Early-Stage Inventions: A Legal and Empirical Analysis

This article critically examines the role of Provisional Patent Applications (PPAs) as strategic tools within the intellectual property framework, particularly highlighting their significance in safeguarding early-stage inventions. By allowing inventors to secure a priority date while still developing their inventions, PPAs provide a time frame when additional funding can be sought and further development can be pursued without losing the claim to the original invention date. This is especially important in industries like information and communication technology and the life sciences, where development timelines are lengthy and investment-intensive. PPAs serve not only as a cost-effective initial step in patent filing but also as a protective mechanism against premature disclosure, safeguarding the novelty of the invention. PPAs do not undergo formal examination and do not result in a granted patent unless followed by a standard patent application. However, they establish a legal placeholder that can be crucial for securing further patent rights. This study explores the legal framework of PPAs across various jurisdictions. The analysis also delves into the specific benefits and strategic considerations associated with drafting and filing PPAs, including their role in facilitating additional research and refinement of the invention. In addition, it presents novel empirical evidence on the growth of PPAs in the United States and their use as priorities in regular USPTO and EPO patent applications. Despite their advantages, PPAs come with limitations, such as the limited time available to convert them into standard patent applications (typically one year) to benefit from their priority date and the precise requirements for subsequent standard patent applications, which this article addresses. Through a detailed exploration of both the theoretical framework and practical applications of PPAs, the article contributes to a deeper understanding of their role in broader patent strategies, advocating for their careful and informed use in the innovation process.

ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ В РАМКАХ ДИСЦИПЛИН ГУМАНИТАРНОГО БЛОКА

The article examines the process of formation and improvement of one of the universal competencies - “communicative” (UC-4) at a technical university. Its main content, place and role in vocational education are determined. The emphasis is placed on the fact that the competence “Communication” is formed not by “assimilation” of certain theoretical knowledge, but by their regular application and integration into educational process general matrix, contributing to general professional and professional competencies communicative component formation. New academic discipline “Professional ethics and fundamentals of business communication” is of particular importance for engineering training. This discipline differs from “Psychology of professional communication”, “Business communication”, “Fundamentals of business communication” because communicative competence is formed here through the prism of moral and ethical norms of society and professional ethics Formation of full-fledged communication skills is impossible within the framework of only one academic discipline; therefore, it is recommended to include interdisciplinary connections and extracurricular activities potential. The results of the study confirmed humanitarian training relevance at a technical university and importance of UC-4 for future specialists. The study was conducted at the Kamyshin Technological Institute (branch) of Volgograd State Technical University (KTI VSTU).

Deriving measurement collapse using zeta function regularisation and speculative measurement theory

This paper shows how an application of zeta function regularisation to a physical model of quantum measurement yields a solution to the problem of wavefunction collapse. Realistic measurement dynamics based on a particle becoming non-isolated are introduced and, based on this, an outcome function is derived using the method of maximum entropy. It is shown how regularisation of an information theoretic quantity related to this outcome function leads to apparent collapse of the wavefunction. The physical principles and key assumptions that underlie this theory are discussed. Some possible experimental approaches are described.

Effects of a pH-Regulating Emollient Cream in Mild Atopic Dermatitis Patients with Moderate Localized Lesions

Introduction: Increased skin pH values in patients with atopic dermatitis (AD) contribute to poor antimicrobial and permeability barrier functions of the skin. In practice, the majority of topical preparations available for dry skin conditions do not provide sufficient pH and buffering capacity for maintaining optimum skin surface conditions. To address this issue, we tested a novel zinc lactobionate preparation to determine whether the regular application would lower skin surface pH, and in doing so improve the condition of lesional skin. Methods: The assessment for local severity of AD was done with the Scoring Atopic Dermatitis Index (SCORAD) and skin dryness was assessed by capacitance measurement. Results: The results showed that the test product lowered skin pH and improved AD skin lesions from moderate to mild during 2 weeks of application. In the treated area a lowered pH of about 0.85 units was found. Together with the lowering of pH, the local SCORAD significantly improved from 8.3 on average down to 4.0, while in the untreated area, only a slight improvement (from 8.2 to 6.4) was found. Conclusion: Synergistic effects of the test product’s pH lowering and emollient properties might explain the observed improvements in clinical signs of AD and further research against a comparator would allow the specific contribution of pH modulation to these improvements to be unambiguously isolated.

Rhizosphere microbial roles in phosphorus cycling during successive plantings of Chinese fir plantations

The rhizosphere, a critical interface involving soil, plant roots, and microorganisms, plays a vital role in the feedback processes between plants and soil, especially under phosphorus (P) limiting conditions typical of subtropical forests. This study used a chronosequence design to investigate first-fourth successive planting rotations of Chinese fir (Cunninghamia lanceolata) plantations in Fujian Province, China, with stands around 17 years old. We employed a modified P fractionation assay and metagenomic sequencing to explore P cycling in the rhizosphere across different plantation rotations. Rhizosphere labile P concentrations increased significantly in the fourth rotation, alongside a consistent upward trend in moderately labile P throughout successive plantings. Conversely, stable P and residual P concentrations declined during successive plantings, signaling a shift toward more accessible P forms. From metagenomic analyses, the proportion of P transport processes (transportation of phosphonate, phosphate, and inorganic phosphate) gradually increased. Notably, abundances were significantly higher in the rhizosphere soil of the fourth Chinese fir planting rotation of the K01126 gene (involved in phosphate ester mineralization), the phnD gene (associated with phosphonate transport), functional genes related to the solubilization of inorganic phosphate, such as pqqB, pqqC, pqqE, and ppa, and the phoB gene (linked to P-starvation response regulation). The results indicate that functional microbes of the rhizosphere, dominated by Proteobacteria and Acidobacteria, are instrumental in changing P cycling processes during successive plantings. The successive planting rotations of Chinese fir plantations significantly and positively impacted on the gene abundance related to the activation and uptake of P in the rhizosphere. Based on these insights, specific strategies, such as regular monitoring and application of phosphate fertilizer and adjusting rotation timing based on the soil rhizosphere P status, and incorporating native broad-leaved tree species are suggested to promote efficient P cycling, thus supporting sustainable forest management practices.

Structural response reconstruction of beam-like bridge based on equivalent loads under moving forces

Response reconstruction has advantages in enriching monitoring data with high quality and it is of great importance to bridge structural health monitoring. However, there still are many current difficulties with response reconstruction due to the complex operation of bridges, e.g., hard to deal with time-varying positions of vehicles and inefficient reconstruction for cases with a long time. According to the theory of equivalent load identification, this paper proposes a model-based method for reconstructing responses induced by moving forces. The proposed method introduces moving time windows to extract the measured responses in an orderly manner and re-organizes them into a matrix form. The measured responses, expressed in matrix form, then serve as the input data to identify both equivalent loads and structural initial conditions, but not to estimate the actual moving forces. Herein, the equivalent loads represent some concentrated loads with time-invariant acting positions and are employed to approximately re-express the main information of moving forces. Matrix regularization with a sparse penalty term is used to ensure the robustness of identified results. Since the structural inputs have been estimated, the structural responses happening at the validation sensors then can be calculated as a forward problem. In this process, the role of identified structural inputs is an intermediate variable connecting the measuring sensors and the validation sensors so that, the transmissibility function (TF) discussed in the proposed method is expressed in an implicit pattern. Compared to the response reconstruction methods developed from moving force identification (MFI), an obvious characteristic is that information on the actual moving forces is no longer necessary. Therefore, it can bring convenience in practical application such as the time-varying positions of moving vehicles are not needed in advance. In addition, the application of matrix regularization has the potential for efficient computation. To verify the feasibility and effectiveness of the proposed method, both numerical simulations and experimental studies are finally carried out. The illustrated results indicate that the proposed method can accurately reconstruct the structural response. In addition, some related issues are also discussed.

The design of ‘opportunistic’ or sparse onshore seismic surveys

Seismic surveying is the preferred subsurface exploration technique, but data acquisition can be problematic in populated areas and especially in urban areas. In this paper, I describe a method to design “opportunistic” or sparse surveys that utilize existing roads and tracks and whose objective is to allow the acquisition of a data set especially suited to the application of 5D regularization. The method incorporates six stages: theoretical design, identification of possible line locations, geometry creation, geometry evaluation, survey optimization, and the creation of infill points. Unlike conventional designs, this process requires the calculation of specific metrics that indicate the suitability of the design for regularization. The process also requires multiple iterations of the evaluation/optimization/infill stages, some of which can be automated, to generate the optimum design. Given the bespoke nature of the method, a specialized MATLAB package was developed to implement the process, which also incorporates the numerous high-performance algorithms required.

Development of Uv-visible and Hplc Analytical Methods for Quantitative Analysis of Antiulcer Drugs in Dosage Forms

Precise measurement of active pharmaceutical ingredients (APIs) in dosage forms is crucial in the pharmaceutical business to guarantee the quality, effectiveness, and safety of the product. This research is focused on creating and confirming analytical techniques for accurately measuring the amount of antiulcer medicines in different types of medication. The measurement of antiulcer medicines in their respective formulations was carried out using two analytical techniques: UV-Visible spectroscopy and High-Performance Liquid Chromatography (HPLC). UV-Visible spectroscopy is a straightforward and cost-effective method that allows for quick examination. It is particularly useful for regular quality control applications. HPLC, in contrast, offers exceptional sensitivity, specificity, and precision, facilitating the isolation and measurement of many constituents in complex matrices. The technique development procedure included optimizing experimental parameters, including solvent systems, detection wavelengths, column types, mobile phase composition, and flow rates. The reliability and robustness of the suggested procedures were ensured by validation studies done in accordance with ICH recommendations. The adequacy of the procedures for their intended purpose was assessed by evaluating parameters such as linearity, precision, accuracy, specificity, and robustness. The UV-Visible and HPLC techniques that were developed showed exceptional linearity over the examined concentration range, with correlation values (R²) above 0.99. The precision experiments showed low relative standard deviations (RSDs), suggesting excellent repeatability and moderate accuracy. The accuracy checks demonstrated that the recovery values were within acceptable ranges, therefore verifying the dependability of the methodologies used for quantitative analysis.

Long-term application of organic matter improves soil properties and plant growth-promoting bacteria in soil communities of oil palm plantation

ABSTRACT Oil palm (Elaeis guineensis) is a major contributor to global vegetable oil production; however, ensuring its sustainability remains a critical challenge, particularly concerning soil health. In this study, we investigated the impact of long-term organic matter application as part of good soil management (GSM) practices on oil palm plantations and compared it with poor soil management practices to determine the presence of plant growth-promoting bacteria (PGPB) in soil communities. The ten-years regular application of organic matter to the soil in the GSM plots led to notable improvements in soil chemical properties, including total organic carbon, total nitrogen, available phosphorus, available potassium, and cation exchange capacity. Metagenomic analysis revealed a significantly higher abundance of beneficial microbial species exclusively found in GSM plots, supporting oil palm growth. Furthermore, a novel finding emerged from this study, as it successfully predicted the metabolic function of PGPB in soil communities using PICRUST2 provided by the soil microbiome. PICRUST2 analysis indicated that the long-term application of organic matter in GSM plots increased functional enzymes related to PGP activities, such as nitrogen fixation, phosphate solubilization, potassium solubilization, and phytohormone synthesis. This study underscores the significance of implementing GSM practices in oil palm plantations by incorporating eco-friendly materials, such as organic matter, to enhance soil health and fertility and ensure oil palm sustainability.