Similar Scale Research Articles

CPMI-ChatGLM: parameter-efficient fine-tuning ChatGLM with Chinese patent medicine instructions

Chinese patent medicine (CPM) is a typical type of traditional Chinese medicine (TCM) preparation that uses Chinese herbs as raw materials and is an important means of treating diseases in TCM. Chinese patent medicine instructions (CPMI) serve as a guide for patients to use drugs safely and effectively. In this study, we apply a pre-trained language model to the domain of CPM. We have meticulously assembled, processed, and released the first CPMI dataset and fine-tuned the ChatGLM-6B base model, resulting in the development of CPMI-ChatGLM. We employed consumer-grade graphics cards for parameter-efficient fine-tuning and investigated the impact of LoRA and P-Tuning v2, as well as different data scales and instruction data settings on model performance. We evaluated CPMI-ChatGLM using BLEU, ROUGE, and BARTScore metrics. Our model achieved scores of 0.7641, 0.8188, 0.7738, 0.8107, and − 2.4786 on the BLEU-4, ROUGE-1, ROUGE-2, ROUGE-L and BARTScore metrics, respectively. In comparison experiments and human evaluation with four large language models of similar parameter scales, CPMI-ChatGLM demonstrated state-of-the-art performance. CPMI-ChatGLM demonstrates commendable proficiency in CPM recommendations, making it a promising tool for auxiliary diagnosis and treatment. Furthermore, the various attributes in the CPMI dataset can be used for data mining and analysis, providing practical application value and research significance.

Thermodynamics and collective modes in hydrogen-bonded fluids.

The thermodynamics of liquids and supercritical fluids is notorious for eluding a general theory, as can be done for crystalline solids on the basis of phonons and crystal symmetry. The extension of solid state notions, such as configurational entropy and phonons, to the liquid state remains an intriguing but challenging topic. This is particularly true for liquids, such as water, whose many structural anomalies give it unique properties. Here, for simple fluids, we specify the thermodynamics across the liquid, supercritical, and gaseous states using the spectrum of propagating phonons, thereby determining the non-ideal entropy of the fluid using a single parameter arising from this phonon spectrum. This identifies a marked distinction between these "simple" fluids and hydrogen bonded fluids whose non-ideal entropy cannot be determined by the phonon spectrum alone. We relate this phonon theory of thermodynamics to the previously observed excess entropy scaling in liquids and how the phonon spectrum creates corresponding states across the fluid phase diagram. Although these phenomena are closely related, there remain some differences, in practice, between excess entropy scaling and the similar scaling seen due to phonon thermodynamics. These results provide important theoretical understanding to supercritical fluids, whose properties are still poorly understood despite widespread deployment in environmental and energy applications.

THE DEVELOPMENT OF COVID-19 BRIEF ANXIETY SCALE IN OMAN

Introduction: The global COVID-19 pandemic has caused increased levels of anxiety and stress. A recent study reported that 99% of its sample experienced anxiety, stress, stigma, and concerns about potential social isolation. Aims: This study aims to address the lack of a specific COVID-19 anxiety scale in Oman. Methods: The online scale was distributed via Google Form to 431 students, representing 3% of the total student population at Sultan Qaboos University (SQU). The students were enrolled in different colleges of Sultan Qaboos University. Exploratory factor analysis revealed a unidimensional factorial structure consisting of four items. Item loadings ranged from 0.617 (item 4) to 0.847 (item 3). Results: The results indicated that the validity fit indices were excellent. The RMSEA and SRMR values were greater than 0.05 indicating a perfect fit. The X2/DF value was 0.854, with a p-value of less than 0.653, while the GFI, AGFI, IFI, NFI, TLI, CFI, RMR, and RMSEA values were 0.999, 0.995, 1.003, 0.998, 0.959, 1.00, 0.015, 0.000, respectively (90% CI [0.000; 0.074]). The COBAS-4 showed convergent validity through its significant association with similar scales. Discriminant validity was established via its insignificant correlation to distinct constructs. McDonald’s omega and Cronbach’s alpha showed adequate reliability at 0.810 each. The results of multiple group CFA indicated configural, metric, and scalar invariance between male and female students (ΔCFI ≤ 0.01, ΔRMSEA ≤ 0.015). No significant differences were found between the two sexes. The scale was calibrated using the Rasch rating scale, which provided robust results. The Mantel-Haenszel test showed no differential item functioning (DIF) across sexes. Conclusion: The COBAS-4 is a valid, reliable, simple, and easy-to administer self-report instrument for assessing COVID-19-related anxiety.

Time-optimal multi-qubit gates: Complexity, efficient heuristic and gate-time bounds

Multi-qubit entangling interactions arise naturally in several quantum computing platforms and promise advantages over traditional two-qubit gates. In particular, a fixed multi-qubit Ising-type interaction together with single-qubit X-gates can be used to synthesize global ZZ-gates (GZZ gates). In this work, we first show that the synthesis of such quantum gates that are time-optimal is NP-hard. Second, we provide explicit constructions of special time-optimal multi-qubit gates. They have constant gate times and can be implemented with linearly many X-gate layers. Third, we develop a heuristic algorithm with polynomial runtime for synthesizing fast multi-qubit gates. Fourth, we derive lower and upper bounds on the optimal GZZ gate-time. Based on explicit constructions of GZZ gates and numerical studies, we conjecture that any GZZ gate can be executed in a time O(n) for n qubits. Our heuristic synthesis algorithm leads to GZZ gate-times with a similar scaling, which is optimal in this sense. We expect that our efficient synthesis of fast multi-qubit gates allows for faster and, hence, also more error-robust execution of quantum algorithms.

Validity and reliability study of the Mediterranean Lifestyle Index: Turkish adaptation

ObjectiveThe Mediterranean Lifestyle Index (MEDLIFE) differs from similar scales in that it concurrently includes diet and lifestyle. The current study translated MEDLIFE into Turkish, and assessed its reliability and validity. MethodsA questionnaire was administered to 300 individuals 19–65 years of age. The questionnaire was subsequently re-administered to 87 research participants. The questionnaire, asking for general information, MEDLIFE, and information regarding anthropometric measurements, was sent to the users of an online platform. The scale was converted into the applicable Turkish form by an expert group. Test-retest reliability was evaluated with the intraclass correlation coefficient (ICC). In addition, kappa coefficients (k) and Bland–Altman graphs were determined for each item to assess reliability. ResultsThe mean scores before and after were 14.5 ± 3.68 and 14.3 ± 3.81, respectively, and the intercorrelation coefficient r was 0.817 for test-re-test reliability. ConclusionThe validity and reliability of the scale in the Turkish language was confirmed. This study is the first to translate MEDLIFE into another language and may aid in assessing the scale's adaptability to other languages. Food consumption record and physical activity record studies must be performed to ensure validity.

Leading report of molecular prevalence of tick borne Anaplasma marginale and Theileria ovis in yaks (Bos grunniens) from Pakistan.

Domestic yak (Bos grunniens) is an economically important feature of the mountainous region of Gilgit-Baltistan in Pakistan where agriculture is restricted and yaks play multiple roles which includes being a source of milk, meat, hides, fuel and power. However little is known about the parasitic infections in Pakistani yaks. Aim of this research was to report the prevalence and genetic diversity of protozoa parasite (Theileria ovis, 18S rDNA gene was targeted) and an obligate bacterium (Anaplasma marginale, msp-1 gene was amplified) in the blood that was sampled from 202 yaks collected from four districts in Gilgit-Baltistan during January 2023 till January 2024. Results revealed that 6/202 (3%) yaks were of Theileria ovis while 8/202 (4%) were Anaplasma marginale infected. Positive PCR products of both parasites were confirmed by DNA sequencing and their similarity with previously available pathogen sequences was determined by BLAST analysis. Phylogenetic tree indicated that isolates of both parasites displayed genetic. Anaplasma marginale infection varied with the sampling districts and Shigar district had the highest rate of bacterial infection. Cows were significantly more prone to Theileria ovis infection than bulls. Calf and hybrid yaks were more prone to Anaplasma marginale infection. In conclusion, this is the first report that yaks residing the Gilgit-Baltistan region in Pakistan are infected with Theileria ovis and Anaplasma marginale. Similar larger scales studies are recommended in various regions of Gilgit-Baltistan to document the infection rates of these parasites to formulate strategies that will lead to the effective control of these pathogens.

Consecutive Fertilization-Promoted Soil Nutrient Availability and Altered Rhizosphere Bacterial and Bulk Fungal Community Composition

Fertilization is an important measure to quickly supplement the soil nutrients required for plantation productivity. However, the response patterns of the microbial community and functional taxa in Larix plantation root, rhizosphere, and bulk soil to short-term and consecutive fertilization have rarely been reported. In this study, we assessed Larix root, rhizosphere, and bulk soil microbial community on days 0, 5, 15, and 30 after the first inorganic fertilization and after three consecutive years of fertilization. The bacterial 16S and fungal ITS high-throughput sequencing technology were used to monitor changes in microbial community composition and potential functional groups, as well as changes in soil nutrient content and enzyme activity to evaluate the status of plantation soil productivity. Consecutive fertilization treatment significantly increased the available nitrogen, phosphorus, and potassium (NPK) content and soil enzyme activity. The nonmetric multidimensional scaling (NMDS) and analysis of similarities (ANOSIM) results showed that there were significant differences in microbial community composition in root samples, rhizosphere soil, and bulk soil samples. The dominant microbial taxa were different between root and soil microbial community composition. Consecutive fertilization treatment had little effect on endophytic microbial community but significantly increased the abundance of Gaiellales in rhizosphere soil and Mortierella in bulk soil. The redundancy analysis (RDA) and co-occurrence network analyses showed that Gaiellales and Mortierellales had significant positive correlations with soil nutrient content and enzyme activity. The fungal functional group compositions were significantly affected by consecutive fertilization treatment and the proportions of ectomycorrhizal and saprotroph significantly decreased, but the proportion of endophyte significantly increased in bulk soil samples. Our results suggested that consecutive fertilization may promote soil nutrient availability by increasing the abundance of Gaiellales and Mortierella. Consecutive fertilization maintained the balance of the soil microbiota under Larix plantation and had a positive effect on promoting soil nutrient availability. This study provided a theoretical basis for consecutive fertilization to promote soil nutrient availability through specific microbial groups.

ZVQAF: Zero-shot visual question answering with feedback from large language models

Due to the prominent zero-shot generalization in new language tasks shown by large language models (LLMs), applying LLMs for zero-shot visual question answering (VQA) has been a new trend. However, most prior approaches directly use off-the-shelf captioning models to generate captions that compose in-context examples for LLMs, and such generated captions may be uninformative, thus leading the LLMs to give false predictions. To address this, we propose zero-shot VQA with feedback from LLMs (ZVQAF), a framework that applies LLMs to discriminate the quality of generated captions and leverages this feedback to train the captioning model. ZVQAF consists of two stages: the first stage is the training with feedback, which enables the captioning model to recognize the task objective and information requirements from the LLM, and the second stage is utilizing the optimized captioning model and LLM for inference. Extensive experiments show that ZVQAF achieves zero-shot VQA performance that is comparable or even superior to those previous zero-shot, few-shot, and end-to-end training approaches. For example, on VQAv2 test dataset, ZVQAF outperforms Flamingo (Alayrac et al., 2022) which employs end-to-end training by a large margin of 8.0%. In addition, on A-OKVQA dataset, ZVQAF outperforms zero-shot method Img2LLM (Guo et al., 2023) by 3.8% when employing LLMs with similar scales.

Acceptability measures for evaluating smoking cessation interventions among individuals with diabetes

BackgroundThe literature indicates that individuals with diabetes do not easily adopt smoking cessation interventions. Given that the success of such interventions depends on patient involvement and attitudes, assessing intervention acceptability, including patient satisfaction and perceived usefulness, is crucial before implementing a smoking cessation intervention. This paper reports the preliminary validation of the satisfaction and perceived usefulness questionnaires for evaluating smoking cessation interventions among individuals with diabetes. Study designValidity study. MethodsThe satisfaction questionnaire contained eight statements while the perceived usefulness questionnaire had fourteen; both rated on a 5-point Likert scale. Content validation involved five tobacco cessation facilitators rating item relevance using a 4-point ordinal rating scale, suggesting improvements. The questionnaires were also translated into Maltese for local use and assessed for translation validity using a similar scale. Unanimous agreement among experts was required for item relevance and equivalence. Thirty-four individuals with type 1 or type 2 diabetes, attending a diabetes-specific smoking cessation intervention, received either the Maltese or English versions of the questionnaires. Internal consistency was measured using Cronbach's alpha. ResultsAfter two rounds of content validation, the experts unanimously agreed on item relevance and conceptual equivalence. Fifteen and sixteen participants completed the Maltese and English versions of the questionnaires, respectively. Both questionnaires’ versions were found to have a high internal consistency (>0.8). ConclusionsThese findings provide the initial validation of these instruments for assessing the acceptability of smoking cessation interventions among individuals with diabetes. Further validation in different settings using a larger sample is suggested.

Suitability of Polymers for 3D-Printing Laboratory Models for Shaking Table Experiments: Discussion and Indications.

This paper presents a comprehensive assessment of the suitability of seven commercially available polymers for crafting laboratory models designed for dynamic shaking-table tests using 3D-printing technology. The objective was to determine whether 3D-printed polymer models are effective for dynamic assessments of structures. The polymers underwent experimental investigations to assess their material properties, i.e., the elastic modulus, the mass density, and the limit of linear-elastic behaviour. The following methodology was applied to obtain the correct values of elasticity moduli and yield points of the polymers: (1) the uniaxial tensile test, (2) the compression test, and (3) the three-point loading test. The filament density was determined as the ratio of sample mass to its volume. The results indicate substantial variations in stiffness, density, and elasticity limits among them. For the similarity analysis, an existing reinforced concrete chimney 120 m high was chosen as a prototype. A geometric similarity scale of 1:120 for a laboratory mock-up was adopted, and a numerical model of the mock-up was created. The similarity scales were calculated for mock-ups made of each filament. Based on these scales, numerical calculations of natural frequencies and dynamic performance under a strong earthquake were carried out for models made of different polymers. Assessment of the polymers' suitability for laboratory models revealed positive outcomes. The agreement between field experiments, shaking-table tests, and numerical predictions in terms of natural frequencies was observed. Maximum stresses resulting from the earthquake indicated the satisfactory performance of the model below the linear-elastic limit. Despite differences in material properties, the selected polymers were deemed suitable for 3D-printing models for shaking-table tests. However, the discussion raised some important considerations. The upper frequency limit of the shaking-table imposes restrictions on the number of natural frequencies that can be determined. Numerical assessments of natural frequencies are recommended to prevent underestimation and to assess the feasibility of their determination. Additionally, resonance during natural frequency determination may lead to exceeding the linear-elastic limit, affecting filament properties, and making the similarity criteria invalid. Practically, this research contributes insights for planning shaking-table tests, aiding in selecting the most suitable filament and highlighting crucial considerations to ensure reliable and accurate dynamic assessments.

Multi Satellite Observation of a Foreshock Bubble Causing an Extreme Magnetopause Expansion

AbstractThe interaction of a solar wind discontinuity with the backstreaming particles of the Earth’s ion foreshock can generate hot, tenuous plasma transients such as foreshock bubbles (FB) and hot flow anomalies (HFA). These transients are known to have strong effects on the magnetosphere, distorting the magnetopause (MP), either locally during HFAs or globally during FBs. However, previous studies on the global impact of FBs have not been able to determine whether the response stems directly from the transverse scale size of the phenomenon or its fast motion over the magnetosphere. Here we present the observation of an FB and its impact on the magnetosphere from different spacecraft scattered over the dayside magnetosphere. We are able to constrain the size of the transverse scale of an FB from direct observations to be about 10 RE. We go on to discuss how the magnetosphere responds to this transient, which seems to have a similar scale across the dayside.

Quantifying dislocation drag at high strain rates with laser-induced Microprojectile impact

As deformation rate increases, the thermally activated dislocation glide gives way to a continuous glide of dislocations governed by their interactions with phonons. Understanding the dislocation-phonon drag regime is critical for designing metallic materials for extreme deformations rates. However, it has proven challenging to study empirically, partly due to the resource intensive nature of the experimental approaches targeting this regime. Here, we develop an impression-based experimental approach combining laser-induced microprojectile impact (Hassani et al., 2020a) and spherical nanoindentation to characterize the dislocation-phonon drag regime. We also develop a physically based constitutive framework that, when integrated with our experimental measurements, can quantify the dislocation-phonon drag regime. We isolate the effect of dislocation-phonon drag by leveraging the similar deformation geometries and length scales but different operative mechanisms during spherical nanoindentation and microprojectile impact. We discuss mechanistic contributions to the plastic work for microprojectile impacts in a range of impact velocities producing strain rates up to 109 s−1. We also develop a deformation mechanism map focused on the transition from thermal activation to dislocation drag for a model FCC metal, copper.

Competing itinerant and local spin interactions in kagome metal FeGe

The combination of a geometrically frustrated lattice, and similar energy scales between degrees of freedom endows two-dimensional Kagome metals with a rich array of quantum phases and renders them ideal for studying strong electron correlations and band topology. The Kagome metal, FeGe is a noted example of this, exhibiting A-type collinear antiferromagnetic (AFM) order at TN ≈ 400 K, then establishes a charge density wave (CDW) phase coupled with AFM ordered moment below TCDW ≈ 110 K, and finally forms a c-axis double cone AFM structure around TCanting ≈ 60 K. Here we use neutron scattering to demonstrate the presence of gapless incommensurate spin excitations associated with the double cone AFM structure of FeGe at temperatures well above TCanting and TCDW that merge into gapped commensurate spin waves from the A-type AFM order. Commensurate spin waves follow the Bose factor and fit the Heisenberg Hamiltonian, while the incommensurate spin excitations, emerging below TN where AFM order is commensurate, start to deviate from the Bose factor around TCDW, and peaks at TCanting. This is consistent with a critical scattering of a second order magnetic phase transition with decreasing temperature. By comparing these results with density functional theory calculations, we conclude that the incommensurate magnetic structure arises from the nested Fermi surfaces of itinerant electrons and the formation of a spin density wave order.

Stenus-inspired, swift, and agile untethered insect-scale soft propulsors.

Mimicking living creatures, soft robots exhibit incomparable adaptability and various attractive new features. However, untethered insect-scale soft robots are often plagued with inferior controllability and low kinetic performance. Systematically inspired by the swift swingable abdomen, conducting canals for secretion transport, and body setae of Stenus comma, together with magnetic-induced fast-transformed postures, herein, we present a swift, agile untethered millimetre-scale soft propulsor propelling on water. The demonstrated propulsor, with a body length (BL) of 3.6 mm, achieved a recorded specific speed of ~201 BL/s and acceleration of ~8,372 BL/s2. The comprehensive kinetic performance of this propulsor surpasses those of previous ones at similar scales by several orders. Notably, we discovered momentum-transfer-induced over-biological on-demand braking (deceleration ~-5,010 BL/s2) and elucidated the underlying hydrodynamics. This work offers new insights into systematically bio-inspired artificial insect-scale soft robots, enabling them to push boundaries in performance, and potentially revolutionizing robot design, optimization, and control paradigms.

Somatic cell count and an Animal Needs Index to evaluate animal welfare in dairy cattle on farms constructed to the standards of the Agriculture and Rural Development Support Institution

In this research, welfare measurements were made on 14 modern dairy cattle farms (Type 1) with similar enterprise scales and built without any support from any institution, and on eight modern dairy cattle farms (Type 2), which were built with the support of the Agriculture and Rural Development Support Institution (ARDSI), in the province of Konya, Turkey. Welfare levels of dairy cattle farms were measured using the Animal Needs Index (ANI) 35L/2000 method. Milk samples were taken from each of these enterprises and somatic cell counts were obtained. Collected data and calculated ANI scores were compared. While there was a substantial difference between the two enterprise types in terms of the scores obtained for stockmanship (welfare measurement) and the general ANI scores, there was no relationship between the enterprise types in terms of somatic cell count. According to the ANI 35L/2000 welfare measurement method, suitable welfare conditions were provided in these enterprises. However, when examining categories that determine the overall ANI welfare score, deficiencies in some welfare criteria such as flooring, stockmanship, and light–air conditions were noted.

Eciton: Very Low-power Recurrent Neural Network Accelerator for Real-time Inference at the Edge

This article presents Eciton, a very low-power recurrent neural network accelerator for time series data within low-power edge sensor nodes, achieving real-time inference with a power consumption of 17 mW under load. Eciton reduces memory and chip resource requirements via 8-bit quantization and hard sigmoid activation, allowing the accelerator as well as the recurrent neural network model parameters to fit in a low-cost, low-power Lattice iCE40 UP5K FPGA. We evaluate Eciton on multiple, established time-series classification applications including predictive maintenance of mechanical systems, sound classification, and intrusion detection for IoT nodes. Binary and multi-class classification edge models are explored, demonstrating that Eciton can adapt to a variety of deployable environments and remote use cases. Eciton demonstrates real-time processing at a very low power consumption with minimal loss of accuracy on multiple inference scenarios with differing characteristics, while achieving competitive power efficiency against the state-of-the-art of similar scale. We show that the addition of this accelerator actually reduces the power budget of the sensor node by reducing power-hungry wireless transmission. The resulting power budget of the sensor node is small enough to be powered by a power harvester, potentially allowing it to run indefinitely without a battery or periodic maintenance.

A survey of westward‐propagating mixed Rossby–Gravity waves and quantification of their association with extratropical disturbances

AbstractIn this study we have conducted a survey of westward‐propagating mixed Rossby–Gravity (MRG) wave events in the upper troposphere and quantified their association with the intrusions of extratropical disturbances for the period 1979–2019. MRG wave events are identified by imposing the meridional structure of theoretical MRG waves onto the equatorial meridional winds at 200 hPa. In all, 2390 MRG wave events are identified and the majority (61%) of them occurred during the months of May–October, and 65% of the total MRG wave events occurred over the central–east Pacific and Atlantic Ocean domains. Not only the frequency of occurrence but also the amplitude, wavenumber and trapping scale of the MRG wave events are found to exhibit a clear seasonality. MRG wave events associated with intrusions of extratropical disturbances are identified as when the potential vorticity on the 350‐K isentropic surface at 15° latitude exceeded 1 Potential Vorticity Unit (PVU) in the vicinity of the MRG wave events. We find that 37% of the MRG wave events are intrusion MRG wave events and a large majority (88%) of such events occurred over the central–east Pacific and Atlantic Ocean domains. It is also noteworthy that nearly 70% of such intrusions occurred in the winter hemisphere where the westerly wind ducts are well developed. Over the central–east Pacific during northern hemispheric (NH) winter, it is observed that the intrusion MRG wave events have a bigger amplitude and have a larger meridional extent compared to non‐intrusion MRG wave events. They also exhibit a similar spatial scale as the extratropical disturbances implying that resonant interactions may be a primary mechanism for the genesis of MRG wave events. During NH summer, on the other hand, MRG wave events are primarily triggered by convective processes and the extratropical disturbances may be instrumental in amplifying their amplitude.

Dynamics of polarization reversal in neodymium-doped PMN-PT ceramic

In this investigation, we present a comparative dynamic scaling analysis of switching and non-switching loops for PMN-PT ceramic and its neodymium-doped counterpart. The results demonstrate that both the samples exhibit similar scaling relations at high fields, suggesting that their distinct piezoelectric behaviour primarily stems from their polarization dynamics at low fields. For E<4kV/cm, the switching polarization for PMN-PT and Nd:PMN-PT follows the scaling relations: <ASW>=1.65*E5.89f−0.27 and <ASW>=34.5*E3.4f−0.2, respectively. On the other hand, non-switching polarization for the two samples follows the relations: <ASW>=2.26*E4.28f−0.15 and <ASW>=65.9*E1.95f−0.05, respectively. These scaling relations suggest that switching as well as non-switching polarization for Nd:PMN-PT respond faster to changing applied field as compared to their PMN-PT counterparts. We argue that the proportionality constants in two scaling relations have significant effect on the electromechanical behaviour of piezoceramics and should be evaluated in forthcoming dynamic scaling investigations. The kinetics of domain reversal, investigated using the Kolmogorov-Avrami-Ishibashi (KAI) model, suggest that the crystallographic domains in both the samples exhibit nucleation limited-switching (NLS) behaviour. We believe that our work will stimulate investigations on other piezoelectrics to corelate their functional response with the underlying dynamics and kinetics of polarization rotation.

Peanut-based intercropping systems altered soil bacterial communities, potential functions, and crop yield.

Intercropping is an efficient land use and sustainable agricultural practice widely adopted worldwide. However, how intercropping influences the structure and function of soil bacterial communities is not fully understood. Here, the effects of five cropping systems (sole sorghum, sole millet, sole peanut, sorghum/peanut intercropping, and millet/peanut intercropping) on soil bacterial community structure and function were investigated using Illumina MiSeq sequencing. The results showed that integrating peanut into intercropping systems increased soil available nitrogen (AN) and total nitrogen (TN) content. The alpha diversity index, including Shannon and Chao1 indices, did not differ between the five cropping systems. Non-metric multidimensional scaling (NMDS) and analysis of similarities (ANOSIM) illustrated a distinct separation in soil microbial communities among five cropping systems. Bacterial phyla, including Actinobacteria, Proteobacteria, Acidobacteria, and Chloroflexi, were dominant across all cropping systems. Sorghum/peanut intercropping enhanced the relative abundance of phyla Actinobacteriota and Chloroflexi compared to the corresponding monocultures. Millet/peanut intercropping increased the relative abundance of Proteobacteria, Acidobacteriota, and Nitrospirota. The redundancy analysis (RDA) indicated that bacterial community structures were primarily shaped by soil organic carbon (SOC). The land equivalent ratio (LER) values for the two intercropping systems were all greater than one. Partial least squares path modeling analysis (PLS-PM) showed that soil bacterial community had a direct effect on yield and indirectly affected yield by altering soil properties. Our findings demonstrated that different intercropping systems formed different bacterial community structures despite sharing the same climate, reflecting changes in soil ecosystems caused by interspecific interactions. These results will provide a theoretical basis for understanding the microbial communities of peanut-based intercropping and guide agricultural practice.

The comparison of species diversity and abundance of insect natural enemies in the domesticated species of cotton using the yellow pan trap method.

India is the world's largest cotton producer and the only country that grows all four cultivated cotton species. There have been very few studies on the diversity and abundance of natural enemies of cotton insect pests in these cultivated cotton species. Therefore, the current study (2016-2018) was conducted to assess the diversity and abundance of natural enemies that cultivated cotton species harbour. Phule Dhanwantari, Suraj, Suvin, RCH-2, and DCH-32 were the five genotypes used in the study, each with a distinct genetic background. Using the adiv 2.0.1 and vegan R packages, we identified significant differences in natural enemies in terms of species diversity, richness, evenness, and abundance. Analysis of Similarity (ANOSIM) and Non-metric Multidimensional Scaling (NMDS) indicated substantial differences in the natural enemy community structure among the examined genotypes. A total of 17,279 natural enemies were collected and identified across genotypes from seven predatory families and five parasitoid families. The percentage share of these natural enemy families across genotypes and years, in descending order, is Coccinellidae (28.23%) < Tachinidae (19.23%) < Braconidae (12.68%) < Chrysopidae (11.65%) < Chalcididae (9.41%) < Aphelinidae (6.33%) < Pentatomidae (3.29%) < Ichneumonidae (2.37%) < Syrphidae (2.33%) < Vespidae (1.81%) < Asilidae (1.79%) < Geocoridae (0.89%). Coccinellidae, Tachinidae, Braconidae, Chrysopidae, Chalcididae, and Aphelinidae are the six major families that account for more than 85% of all recorded natural enemies. These six families have a higher percentage share in Phule Dhanwantary (90%) compared to the other genotypes. The conservation and better utilization of these natural enemies are crucial for the ecological and safe management of insect pests in the cotton ecosystem.