Validity Of Trials Research Articles

ECOG-ACRIN EAZ171: Prospective Validation Trial of Germline Predictors of Taxane-Induced Peripheral Neuropathy in Black Women With Early-Stage Breast Cancer.

Black women experience higher rates of taxane-induced peripheral neuropathy (TIPN) compared with White women when receiving adjuvant once weekly paclitaxel for early-stage breast cancer, leading to more dose reductions and higher recurrence rates. EAZ171 aimed to prospectively validate germline predictors of TIPN and compare rates of TIPN and dose reductions in Black women receiving (neo)adjuvant once weekly paclitaxel and once every 3 weeks docetaxel for early-stage breast cancer. Women with early-stage breast cancer who self-identified as Black and had intended to receive (neo)adjuvant once weekly paclitaxel or once every 3 weeks docetaxel were eligible, with planned accrual to 120 patients in each arm. Genotyping was performed to determine germline neuropathy risk. Grade 2-4 TIPN by Common Terminology Criteria for Adverse Events (CTCAE) v5.0 was compared between high- versus low-risk genotypes and between once weekly paclitaxel versus once every 3 weeks docetaxel within 1 year. Patient-rated TIPN and patient-reported outcomes were compared using patient-reported outcome (PRO)-CTCAE and Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity. Two hundred and forty of 249 enrolled patients had genotype data, and 91 of 117 (77.8%) receiving once weekly paclitaxel and 87 of 118 (73.7%) receiving once every 3 weeks docetaxel were classified as high-risk. Physician-reported grade 2-4 TIPN was not significantly different in high- versus low-risk genotype groups with once weekly paclitaxel (47% v 35%; P = .27) or with once every 3 weeks docetaxel (28% v 19%; P = .47). Grade 2-4 TIPN was significantly higher in the once weekly paclitaxel versus once every 3 weeks docetaxel arm by both physician-rated CTCAE (45% v 29%; P = .02) and PRO-CTCAE (40% v 24%; P = .03). Patients receiving once weekly paclitaxel required more dose reductions because of TIPN (28% v 9%; P < .001) or any cause (39% v 25%; P = .02). Germline variation did not predict risk of TIPN in Black women receiving (neo)adjuvant once weekly paclitaxel or once every 3 weeks docetaxel. Once weekly paclitaxel was associated with significantly more grade 2-4 TIPN and required more dose reductions than once every 3 weeks docetaxel.

Identification of quality-of-life clusters by the Quebec sleep questionnaire in sleep apnea patients.

Patients with obstructive sleep apnea (OSA) may present different symptoms. The clinical importance of symptom clustering is supported by the difference in the incidence of cardiovascular diseases between hypersomnolent and non-hypersomnolent sleep apnea patients. The objective of this study was to determine if quality-of-life clusters could be identified from the Quebec Sleep Questionnaire (QSQ) in OSA patients. Latent class analysis was used to identify clusters in a multivariate analysis of dichotomic variables (presence or absence of symptoms) for each item the QSQ obtained from 147 patients who fulfilled the questionnaire during its validation and subsequent trials (75.5% males, age: 53 ± 11 years, body mass index (BMI): 30.4 ± 4.7 kg/m2, apnea/hypopnea index (AHI): 31.3 ± 14.8/h). Three clusters were identified. Quality of life was preserved in patients of cluster 1 (20.4% of patients). Patients of cluster 2 (32.6% of patients) had a moderately impaired quality of life, mainly due to daytime somnolence and poor sleep quality. Patients with impaired quality of life (cluster 3, 46.9% of patients) had an important impact in every domain of the QSQ with the highest sleepiness and daytime symptom impairments. Gender, BMI, and AHI did not differ between the three clusters. In conclusion, different quality-of-life clusters can be identified from the QSQ in sleep apnea patients. These clusters are similar to those reported previously. Further studies are needed to validate these clusters in larger and independent cohorts, to evaluate how they respond to OSA treatment, and their relationship with incident outcomes.

Unveiling the Nexus of CD38 Overactivation, NAD+ Depletion, and Mitochondrial Dysfunction in Immunological Failure Among Virologically Suppressed HIV Patients

Introduction With the advent of antiretroviral therapy (ART), HIV has become a manageable chronic disease. Despite effective virologic suppression, approximately 30% of people living with HIV (PLWH) experience immunological failure, characterized by inadequate CD4+ T cell recovery. This study explores the hypothesis that overactivation of the CD38 receptor leads to NAD+ depletion and subsequent mitochondrial dysfunction, contributing to immunological failure in virologically suppressed HIV patients. Methods A comprehensive review of existing literature was conducted to investigate the roles of CD38, NAD+, and mitochondrial function in HIV pathogenesis. Data were collected from studies on CD38 expression, NAD+ metabolism, and mitochondrial dysfunction in the context of HIV and aging. The integrative approach included examining immune cell activation, metabolic pathways, and potential therapeutic interventions. Results CD38, a type II transmembrane glycoprotein, is overexpressed in PLWH and serves as a predictor of HIV progression. Its enzymatic activities deplete NAD+, a crucial coenzyme involved in energy metabolism, DNA repair, and cell signaling. NAD+ depletion impairs mitochondrial oxidative phosphorylation (OXPHOS), leading to reduced ATP production and increased reliance on glycolysis, which promotes inflammation. Overactivation of CD38 also activates the kynurenine pathway through IDO-1, further depleting NAD+ and generating toxic metabolites that damage mitochondria. This cascade results in persistent immune activation, immune exhaustion, and CD4+ T cell apoptosis. Conclusion The overactivation of CD38 and subsequent NAD+ depletion are central to the pathogenesis of immunological failure in virologically suppressed HIV patients. This mechanism links chronic immune activation, metabolic dysfunction, and accelerated aging. Therapeutic interventions targeting CD38 inhibition, NAD+ supplementation, and mitochondrial function enhancement could potentially reverse immunological failure and improve health outcomes in PLWH. Further experimental validation and clinical trials are necessary to confirm these findings and develop effective treatments.

Mechanical Method for Rapid Determination of Step Count Sensor Settings.

With the increased push for personalized medicine, researchers and clinicians have begun exploring the use of wearable sensors to track patient activity. These sensors typically prioritize device life over robust onboard analysis, which results in lower accuracies in step count, particularly at lower cadences. To optimize the accuracy of activity-monitoring devices, particularly at slower walking speeds, proven methods must be established to identify suitable settings in a controlled and repeatable manner prior to human validation trials. Currently, there are no methods for optimizing these low-power wearable sensor settings prior to human validation, which requires manual counting for in-laboratory participants and is limited by time and the cadences that can be tested. This article proposes a novel method for determining sensor step counting accuracy prior to human validation trials by using a mechanical camshaft actuator that produces continuous steps. Sensor error was identified across a representative subspace of possible sensor setting combinations at cadences ranging from 30 steps/min to 110 steps/min. These true errors were then used to train a multivariate polynomial regression to model errors across all possible setting combinations and cadences. The resulting model predicted errors with an R2 of 0.8 and root-mean-square error (RMSE) of 0.044 across all setting combinations. An optimization algorithm was then used to determine the combinations of settings that produced the lowest RMSE and median error for three ranges of cadence that represent disabled low-mobility ambulators, disabled high-mobility ambulators, and healthy ambulators (30-60, 20-90, and 30-110 steps/min, respectively). The model identified six setting combinations for each range of interest that achieved a ±10% error in cadence prior to human validation. The anticipated range of errors from the optimized settings at lower walking speeds are lower than the reported errors of wearable sensors (±30%), suggesting that pre-human-validation optimization of sensors may decrease errors at lower cadences. This method provides a novel and efficient approach to optimizing the accuracy of wearable activity monitors prior to human validation trials.

PENGEMBANGAN LKPD BERBASIS PROBLEM BASED LEARNING PADA MATA PELAJARAN MATEMATIKA DI KELAS 2 SEKOLAH DASAR

This study aims to describe the development process, feasibility, and response of students to the Development of LKPD Based on Problem Based Learning. The research method used is Research and Development (R&amp;D) with a research design according to Borg and Gall which has been modified by Sugiyono into 6 stages, namely problem analysis, data collection, product design, design validation, design revision, and product trials. This research process is adjusted based on the research design used. Based on the feasibility results obtained, namely the results of expert validation, the material obtained a percentage of 89.6%, including in the very feasible category. The results of the validation of linguists obtained a percentage of 83.3% included in the very decent category. The results of the validation of design experts obtained a percentage of 92% included in the very decent category. Based on the results of student responses after using LKPD obtained a percentage of 98.8% included in the very decent category. Based on the results of comprehension tests conducted by students after using LKPD-based Problem Based Learning obtained a percentage of 94.6% included in the very good category

Unravelling the molecular mechanistic pathway underlying the anticancer effects of kaempferol in colorectal cancer: a reverse pharmacology network approach.

Colorectal cancer (CRC) is the third most diagnosed and highly fatal malignancy, presenting serious health concerns worldwide. The search for an effective cure for CRC is challenging and poses a serious concern. Kaempferol is a potent anti-cancerous bioactive compound often suggested for treating various cancers, including CRC. However, its underlying molecular mechanism against CRC remains unclear. The present study delves into kaempferol's molecular pathways and underlying molecular mechanisms against CRC targets. The target protein-coding genes for kaempferol were retrieved, and the CRC-associated genes were curated. Twelve common targets with a disease specificity index of > 0.6 were validated for their protein expression at different stages of CRC. Over-expressed USP1, SETD7, POLH, TDP1 and RACGAP1 were selected for further studies. The binding affinities of kaempferol to the corresponding proteins were evaluated using molecular docking and Molecular Dynamics (MD) simulations. SETD7 exhibited the highest binding affinity with the lowest binding energy (-8.06kcal/mol). Additionally, the MD simulation, and MM-PBSA conferred SETD7-kaempferol complex had the least root-mean-square deviation with lower interaction energy and higher conformational stability. The protein-protein interaction of SETD7 constructed revealed direct interactors, namely, DNMT1, FOXO1, FOXO3, FOXO4, H3-3B, H3-4, H3C12, H3C13, SETD7, SIRT1 and TP53, have a potential role in cancer progression through FOXO signalling. In summary, our study revealed kaempferol's multi-target and synergistic effect on multiple CRC targets and its underlying mechanisms. Finally, the study recommends in-vitro and in-vivo trials for validation of anti-cancerous drugs for CRC.

Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes

Regional lung ventilation assessment is a critical tool for the early detection of lung diseases and postoperative evaluation. Biosensor-based impedance measurements, known for their non-invasive nature, among other benefits, have garnered significant attention compared to traditional detection methods that utilize pressure sensors. However, solely utilizing overall thoracic impedance fails to accurately capture changes in regional lung air volume. This study introduces an assessment method for lung ventilation that utilizes impedance data from the five lobes, develops a nonlinear model correlating regional impedance with lung air volume, and formulates an approach to identify regional ventilation obstructions based on impedance variations in affected areas. The electrode configuration for the five lung lobes was established through numerical simulations, revealing a power–function nonlinear relationship between regional impedance and air volume changes. An analysis of 389 pulmonary function tests refined the equations for calculating pulmonary function parameters, taking into account individual differences. Validation tests on 30 cases indicated maximum relative errors of 0.82% for FVC and 0.98% for FEV1, all within the 95% confidence intervals. The index for assessing regional ventilation impairment was corroborated by CT scans in 50 critical care cases, with 10 validation trials showing agreement with CT lesion localization results.

Conformal field theory approach to parton fractional quantum Hall trial wave functions

We show that all lowest Landau-level projected and unprojected chiral parton type fractional quantum Hall ground and edge-state trial wave functions, which take the form of products of integer quantum Hall wave functions, can be expressed as conformal field theory (CFT) correlation functions, where we can associate a chiral algebra to each parton state such that the CFT defined by the algebra is the “smallest” such CFT that can generate the corresponding ground and edge-state trial wave functions (assuming that the corresponding chiral algebra does indeed define a physically “sensible” CFT). A field-theoretic generalization of Laughlin's plasma analogy, known as generalized screening, is formulated for these states. If this holds, along with an additional assumption, we argue that the inner products of edge-state trial wave functions, for parton states where the “densest” trial wave function is unique, can be expressed as matrix elements of an exponentiated local action operator of the CFT, generalizing the result of Dubail [], which implies the equality between edge-state and entanglement level counting to state counting in the corresponding CFT. We numerically test this result in the case of the unprojected ν=2/5 composite fermion state and the bosonic ν=1ϕ22 parton state. We discuss how Read's arguments [] still apply, implying that conformal blocks of the CFT defined by the corresponding chiral algebra are valid quasihole trial wave functions, with the adiabatic braiding statistics given by the monodromy of these functions, assuming the existence of a quasiparticle trapping Hamiltonian. Generalizations of these constructions are discussed, with particular attention given to simple current constructions. It is shown that all chiral composite fermion wave functions can be expressed as CFT correlation functions without explicit symmetrization or antisymmetrization and that the ground, edge, and certain quasihole trial wave functions of the ϕnm parton states can be expressed as the conformal blocks of the U(1)⊗SU(n)m WZW models. Finally, we discuss the relation of the ϕ2k series with the Read-Rezayi series, where several examples of quasihole braiding statistics calculations are given. Published by the American Physical Society 2024

Predicting Mortality Prior to Interhospital Hospital for "Unseen" General Surgery Patients: Development, Validation and Feasibility Trial of a Mortality Risk Calculator.

Develop and validate a mortality risk calculator that could be utilized at the time of transfer, leveraging routinely collected variables that could be obtained by trained non-clinical transfer personnel. There are no objective tools to predict mortality at the time of inter-hospital transfer for Emergency General Surgery (EGS) patients that are "unseen" by the accepting system. Patients transferred to general or colorectal surgery services from January 2016 through August 2022 were retrospectively identified and randomly divided into training and validation cohorts (3:1 ratio). The primary outcome was admission-related mortality, defined as death during the index admission or within 30 days post-discharge. Multiple predictive models were developed and validated. Among 4,664 transferred patients, 280 (6.0%) experienced mortality. Predictive models were generated utilizing 19 routinely collected variables; the penalized regression model was selected over other models due to excellent performance using only 12 variables. The model performance on the validating set resulted in an area under the receiver operating characteristic curve, sensitivity, specificity, and balanced accuracy of 0.851, 0.90, 0.67, and 0.79, respectively. After bias correction, Brier score was 0.04, indicating a strong association between the assigned risk and the observed frequency of mortality. A risk calculator using twelve variables has excellent predictive ability for mortality at the time of interhospital transfer among "unseen" EGS patients. Quantifying a patient's mortality risk at the time of transfer could improve patient triage, bed and resource allocation, and standardize care.

Preservation of Tolaki Mekongga Language Through Merdeka Curriculum-Based Local Subject Teaching Modules

To expedite the implementation of the "Merdeka Curriculum," the government of North Kolaka District has established a policy regarding the subject of local language to show the identity of the Tolaki Mekongga community. However, this policy has not yet been realized in the form of teaching modules, particularly at the elementary school level. This research aims to create a teaching module based on the "Merdeka Curriculum" that accommodates the learning of the Tolaki Mekongga language at the elementary school level in North Kolaka District, Province of Southeast Sulawesi, Indonesia. This study employs a developmental research approach using the ASSURE model. This study's trial subjects (users) are teachers and students from SDN 3 Lambai, SDN 5 Kodeoha, and SDN 8 Kodeoha in North Kolaka District. Data were collected through expert validation and user trial questionnaires (teachers and students). The data of the research were processed and analyzed descriptively. The validation test results scored 83%, meeting the validity and suitability criteria. The user trial results (teachers and students) gained a score of 85%, meeting the practicality criteria. Therefore, the module resulting from this research is considered appropriate and practical for use in teaching the local subject of the Tolaki Mekongga language at the elementary school level in North Kolaka District.

Natural products act as game-changer potentially in treatment and management of sepsis-mediated inflammation: A clinical perspective

BackgroundSepsis, a life-threatening condition resulting from uncontrolled host responses to infection, poses a global health challenge with limited therapeutic options. Due to high heterogeneity, sepsis lacks specific therapeutic drugs. Additionally, there remains a significant gap in the clinical management of sepsis regarding personalized and precise medicine. PurposeThis review critically examines the scientific landscape surrounding natural products in sepsis and sepsis-mediated inflammation, highlighting their clinical potential. MethodsFollowing the PRISMA guidelines, we retrieved articles from PubMed to explore potential natural products with therapeutic effects in sepsis-mediated inflammation. Results434 relevant in vitro and in vivo studies were identified and screened. Ultimately, 55 studies were obtained as the supporting resources for the present review. We divided the 55 natural products into three categories: those influencing the synthesis of inflammatory factors, those affecting surface receptors and modulatory factors, and those influencing signaling pathways and the inflammatory cascade. ConclusionNatural products' potential as game-changers in sepsis-mediated inflammation management lies in their ability to modulate hallmarks in sepsis, including inflammation, immunity, and coagulopathy, which provides new therapeutic avenues that are readily accessible and capable of undergoing rapid clinical validation and deployment, offering a gift from nature to humanity. Innovative techniques like bioinformatics, metabolomics, and systems biology offer promising solutions to overcome these obstacles and facilitate the development of natural product-based therapeutics, holding promise for personalized and precise sepsis management and improving patient outcomes. However, standardization, bioavailability, and safety challenges arise during experimental validation and clinical trials of natural products.

Abstract PO1-15-09: Vitamin A Metabolism Induces Ferroptosis to Enhance Immune Therapy Efficacy in HR+/HER2- Breast Cancer

Abstract Background: Immune checkpoint blockade (ICB) has substantially improved patient overall and progression-free survival in triple-negative breast cancer (TNBC), but its efficacy remains to be elucidated in the hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) breast cancer, which is characterized by generally impotent lymphocytic infiltration. In the I-SPY2 trial (NCT01042379), pembrolizumab- or durvalumab-containing neoadjuvant therapy increased the pathologic complete response of HR+/HER2- patients. However, pembrolizumab-containing therapy failed to improve the survival of metastatic HR+/HER2- breast cancer patients (NCT03051659). These inconsistent results underscored the necessity of the investigation of predictive biomarkers to pinpoint potential ICB responders in HR+/HER2- breast cancer. Method: In this study, we collected pretreatment tumor samples from 16 patients in two respective clinical trials (NCT: 04215003 and 04355858) and profiled droplet-based single-cell sequencing, bulk RNA-Seq. Patients were treated with camrelizumab (PD-1 inhibitor)-containing therapy, and five of them achieved partial relief after an 8-week course. We also leveraged the bulk RNA-Seq data from the I-SPY2 trial and Fudan University Shanghai Cancer Center (FUSCC) TNBC ICB trials (NCT04418154 and NCT04613674) for external validation. Another FUSCC transcriptome dataset consisting of 933 treatment-naïve HR+/HER2- or TNBC breast cancer patients was used to detect the abundance of cell types. In vitro and in vivo experiments were used to explore mechanisms of anti-tumor immune response. Results: Based on the single-cell sequencing results, we comprehensively delineated the microenvironmental landscape of HR+/HER2- breast cancer. We discovered responders of immunotherapy showed a higher presence of CXCL9/10+ M1-like macrophages and exhibited enrichment of tumor cells with ferroptosis. We further identified the upregulation of vitamin A metabolism and the vitamin A metabolic gene CRABP1 in tumor cells with ferroptosis. We verified the vitamin A metabolism could induce ferroptosis in HR+/HER2- breast cancers rather than TNBC by CRABP1-ERK axis, which could further recruit CXCL9/10+ M1-like macrophages and promote anti-tumor immune response in HR+/HER2- breast cancer. Combining anti-PD1 with enhancing vitamin A metabolism via retinoid acid possessed greater therapeutic efficacy than monotherapy in HR+/HER2- breast cancers. Finally, we developed an immune therapy response score and validated its reliability in predicting the immunotherapy efficacy for HR+/HER2-breast cancers through both internal and external cohorts. Conclusion: Our study represents the earliest efforts to decipher the microenvironmental landscape and the mechanisms underlying the response to ICB in HR+/HER2- breast cancer at single-cell resolution. We unraveled a HR+/HER2- breast cancer-specific Vitamin A-ferroptosis axis that mediated immunotherapy response and constructed a robust immunotherapy efficacy prediction score based on this Vitamin A-ferroptosis axis. Citation Format: Yi-Fan Zhou, Hu-Yun-Long Zhang, Xi Jin, Yi-Zhou Jiang, Zhi-Ming Shao. Vitamin A Metabolism Induces Ferroptosis to Enhance Immune Therapy Efficacy in HR+/HER2- Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-15-09.

Integrating Computational Fluid Dynamics for Maneuverability Prediction in Dual Full Rotary Propulsion Ships: A 4-DOF Mathematical Model Approach

To predict the maneuverability of a dual full rotary propulsion ship quickly and accurately, the integrated computational fluid dynamics (CFD) and mathematical model approach is performed to simulate the ship turning and zigzag tests, which are then compared and validated against a full-scale trial carried out under actual sea conditions. Initially, the RANS equations are solved, employing the Volume of Fluid (VOF) method to capture the free water surface, while a numerical simulation of the captive model test is conducted using the rigid body motion module. Secondly, hydrodynamic derivatives for the MMG model are obtained from the CFD simulations and empirical formula. Lastly, a four-degree-of-freedom mathematical model group (MMG) maneuvering model is proposed for the dual full rotary propulsion ship, incorporating full-scale simulations of turning and zigzag tests followed by a full-scale trial for comparative validation. The results indicate that the proposed method has a high accuracy in predicting the maneuverability of dual full-rotary propulsion ships, with an average error of less than 10% from the full-scale trial data (and within 5% for the tactical diameters in particular) in spite of the influence of environmental factors such as wind and waves. It provides experience in predicting the maneuverability of a full-scale ship during the ship design stage.

PENGEMBANGAN MULTIMEDIA INTERAKTIF BAHASA ARAB TINGKAT MADRASAH TSANAWIYAH

This article is based on a developmental research whis is aimed at constructing Arabic interactive multimedia which is interesting, effective and giving motivation for studenst in learning Arabic. The model development employs the model of Lee &amp; Owens development which consists of five phases: (1) analysis phase. (2) design phase. (3) development phase. (4) implementation phase. (5) evaluation phase. Based on the data analysis of development process, experts validation, and field trials of the product, it can be concluded that the quality of the Arabic interactive multimedia is good and acceptable for used as a student learning source or as teacher’s media in learning process. Keyword: Interactive multimedia, Arabic Teaching Learning

Validation of vacuum extraction protocol for larval sampling of spotted-wing drosophila in blueberries

For spotted-wing drosophila, Drosophila suzukii Matsumura, the standard larval sampling protocol from the fruits involves immersing the fruits in hot water, salt, or sugar solution followed by enumerating the larvae that exit from the fruit. In this study, using the fruit samples collected from commercial blueberry farms, we validated the efficacy of a novel D. suzukii larval sampling technique, the vacuum extraction protocol. The larval extraction efficacy of the vacuum extraction method was compared with the salt extraction method using paired fruit samples collected from three different fields for four consecutive weeks. Overall, larval counts detected through the vacuum extraction were significantly higher than those detected through salt extraction in two out of three blueberry fields. Additionally, among the five blueberry fruit sample volumes tested (118, 177, 237, 355, and 473 mL), we identified 355 mL (12 fl. oz.) as the optimum fruit sample volume for vacuum extraction that maximized sampling precision for unit sampling cost. Since D. suzukii larvae exited from fruits after vacuum extraction remain alive and active, a delay in separating the larvae from the sample with coffee filter extraction may result in larval movement back into the fruit flesh. However, compared with immediate processing, delaying coffee filter extraction up to 60 minutes after vacuum incubating the fruit samples at -98 kPa for 60 minutes did not significantly reduce the larval count. Overall, the results of validation trials indicate that vacuum extraction is a promising sampling method for growers to detect D. suzukii larval infestation in blueberries.

Microbial-mediated conversion of soil organic carbon co-regulates the evolution of antibiotic resistance

The influence of organic carbon on the proliferation of antibiotic resistance genes (ARGs) in the soil has been widely documented. However, it is unclear how soil organic carbon (SOC) interacts with the evolution of antibiotic resistance in bacteria. Here, we examined the variations in ARGs abundance during SOC mineralization and explored the microbiological mechanisms and key metabolic pathways involved in their coevolution. The results showed that the SOC mineralization rate was closely correlated with ARGs abundance (p < 0.05). High organic carbon (OC) mineralization was conducive to the occurrence of multidrug resistance genes. For example, multidrug_transporter and mexB increased 2.26 and 7.83 times from the initial level. The competitor (stress) evolutionary strategy model revealed that higher OC inputs drive environmental microorganisms to evolve from stress tolerant to high resistance and strong adaptation. Meta-genomic and transcriptomic analyses revealed that the conversion process of pyruvate to acetyl-CoA to acetate was the critical metabolic pathway for the co-regulation of antibiotic resistance. Gene deletion validation trials have demonstrated that the key functional genes (ackA and pta) involved in this process can modulate the development of vancomycin and multidrug resistance. This outcome provides a preliminary framework for microbial mechanisms that target the co-regulation of microbial OC conversion and the evolution of antibiotic resistance.

Sistem Pakar untuk Diagnosis Rinitis pada Anak menggunakan Metode Certainty Factor

Expert systems can assist an expert in making decisions that are realized in the form of a program. At this time the program is very helpful in improving various fields such as health, by managing the information that has been obtained. In this research, rhinitis is raised as a topic of discussion by working with experts who are experts in the field, after collecting data through interviews, the conclusion is obtained, namely how to determine whether someone has one of the three types of rhinitis (allergic rhinitis, bacterial rhinitis, and viral rhinitis) with the symptoms experienced and with a fast and accurate process. By using the certainty factor method and applying it to a web-based expert system, it makes it easier for patients and experts to solve the problem, there are 31 types of symptoms among the three types of rhinitis diseases that are used as the basis for the expert system after that with data from 20 patients at the hospital who suffer from various symptoms of rhinitis who have been diagnosed with the disease by experts as validation data and trials it is found that the system is 100% successful in accurately diagnosing each disease in all these patients.

Pengembangan Bahan Ajar Elektronik Berbasis Representasi Multipel Menggunakan Inkuiri Terbimbing pada Topik Asam-Basa

This study aims to develop and determine the feasibility of multiple representation-based electronic teaching materials using a guided inquiry model on the topic of acid and base for class XI high school. The method used in this research is research and development (R &amp; D) which was developed by Thiagarajan and known as the 4D model. The 4D model consists of four stages: define, design, develop, and disseminate. This research instrument is a questionnaire to obtain a quantitative score used to determine the feasibility of teaching materials. The study results indicate that the developed teaching materials have a very good feasibility percentage. The developed teaching materials have been corrected by expert lecturers and revised according to the input given so that a decision is obtained that the teaching materials can be used. The feasibility of teaching materials is determined based on the assessment of the chemistry teacher as a reviewer and student responses. The assessment category obtained from the review by the chemistry teacher are very good with an average assessment percentage of 86.75%. Based on the results of field trials, the student responses show that the developed teaching materials were classified as very good category with an average percentage of 83.00%. Therefore, based on the validation and field trial results, the developed electronic teaching materials are feasible for use in class XI chemistry learning on the acid-base topic.

Resistance response of yellow maize inbreds and F1 crosses against Philippine downy mildew [Peronosclerospora philippinensis (Weston) C.G. Shaw]

Maize is one of the world's most important staple crops, yet various pests and diseases impede its optimal production. Philippine maize downy mildew disease (PDM) caused by Peronosclerospora philippinensis (Weston) Shaw is one of the most devastating diseases in corn-growing areas in Asia. Breeding for resistant varieties is the most cost-effective and environmentally safe alternative for controlling the disease. In this study, we evaluated the resistance responses of yellow maize inbreds and hybrids against PDM to select promising genotypes for genetic analysis and varietal improvement. Resistance trials under greenhouse conditions were conducted to investigate the PDM resistance response of 14 selected CIMMYT lines (CMLs) and IPB Var 6 (susceptible check) to select potential parents prior to hybridization. CML 431 and CML 452 were identified to have significantly low disease incidence among the test genotypes. Subsequently, disease evaluation of the two inbred lines with putative DM resistance, four experimental hybrids derived from these inbred lines, and checks was performed in the field. Across three validation trials, inbred CML 431, and hybrid CML 452 × CML 431 showed degrees of resistance to PDM. This study's findings enabled the identification of resistant lines to downy mildew for the generation of mapping populations for genetic association studies, as well as the establishment of experimental units for transcriptomics research.

E-Moticon's Effective Curriculum Revolutionizes Technical Education

This research focuses on developing an E-Moticon E-Module as a digital learning tool for classroom use in the field of basic computer network and telecommunications. Utilizing the ADDIE method, the study includes expert validation and student trials to assess the media's effectiveness. Results show an 84.31% approval rate from experts and an 82.14% acceptance rate from students, indicating high feasibility and positive reception. This E-Module addresses a knowledge gap in tailored technical learning resources and highlights the potential impact of digital media integration in enhancing classroom learning experiences. Further research is recommended to validate its broader applicability and effectiveness in larger-scale classroom settings. Highlight: Tailored Technical Resource: E-Moticon fills gaps in technical learning for classrooms. High Feasibility: Expert and student approval rates exceed 80%, validating effectiveness. Structured Development: ADDIE method ensures systematic and effective media creation. Keyword: E-Moticon, E-Module, Digital Learning, Classroom Integration, ADDIE Method