Numerous Fields Research Articles

Penegakan Hukum Tindak Pidana Peredaran Narkotika oleh Oknum Anggota POLRI

According to Law Number 35 of 2009, narcotics are substances or drugs that come from plants or non-plants, whether synthetic or semi-synthetic, which can cause a decrease or change in consciousness, loss of sensation, reduce to eliminate pain, and can lead to addiction, which is classified into groups as attached in Law Number 35 of 2009. Narcotics abuse has become a very serious issue faced by various countries, both in developed and developing countries, and one of them is Indonesia. Indonesia, which initially served as a transit country for narcotics trade, has now been turned into a destination for operations, transactions, sales, and production by international narcotics networks. This is evidenced by the numerous fields containing marijuana plants and factories producing narcotics discovered by law enforcement agencies. The research method used is a normative juridical research type, in line with the author's intended purpose, the methodology in the design of the thesis research uses two approaches, namely the Statute Approach and the Conceptual Approach. The Statute Approach is an approach carried out by examining all laws with the concept of law. The research results show that the criminal law system against members of the police force involved in narcotics trafficking, the Criminal Code only recognizes a maximum criminal system. It must be acknowledged that the emergence of this special minimum criminal sanction aims to make people afraid to commit acts as formulated in the Psychotropic Law. Problems arise when, in a specific case, the judge feels that this special minimum criminal penalty is still very severe, and law enforcement imposes criminal sanctions specified in Law No. 35 of 2009 on members of the police force who abuse narcotics, also imposing administrative sanctions, which are sanctions imposed by the relevant institution, in accordance with the main task of the police force as stated in Article 13 letter b, namely enforcing the law. Therefore, every member of the police force is required to be able to investigate and prosecute any form of criminal activity, which would be contradictory if a member of the police force commits a criminal act, as the police force should be a role model for society in implementing the law and regulations in force.

Solving the Lane-Emden and Emden-Fowler equations on Cantor Sets by the Local Fractional Homotopy Analysis Method

Within the definition of the local fractional derivative, we present a reliable and effective method for solving the Lane- Emden and Emden-Fowler models in the current article. Numerous fields of research and engineering can benefit from the use of these models. The proposed technique is named the local fractional homotopy analysis method. The method is applied for both models of k order and tested for several examples. This method proves to be effective in handling such models when compared to other similar models. The results indicate the robustness of the technique and the possibility of its application to other models in the future.

Effect of Rutin on the Behavioural, Biochemical and Liver Morphological Changes in Danio Rerio Exposed to Reduced Graphene Oxide (Rgo) Nanoparticles

ABSTRACT: Reduced graphene oxide (rGO) is a carbon nanomaterial with unique characteristics that permit application in numerous fields. Rutin is a flavonoid with a variety of biological functions and pharmaceutical applications. In topical years, a handful of research has stated on the environmental impacts of carbon nanoparticles (NPs) and the consequences of reduced graphene oxide on the species that live in water bodies. However, the capacity to recuperate after exposure is still mostly unfamiliar. This study analyzed the protective effect of rutin against rGO NPs in zebrafish and the optimal dose required to inverse the impairment caused by rGO NPs exposure in zebrafish. In this study, fish were treated for 14 days and 8 study groups were examined: control, rGO exposure alone (10 mg/L), rutin exposure alone (50, 100 and 200 mg/L) and rGO combined with 3 distinct rutin doses (10 mg/L of rGO + rutin 50, 100, and 200 mg/L). In the zebrafish gill tissues, rGO impairs cells by increasing LPO levels and inducing oxidative stress by suppressing antioxidants (SOD, CAT, GPx, GSH, GR, GST, and vitamin C). Multiple alterations, including sinusoidal and venous congestion, vacuole formation or cytoplasmic vacuolation of hepatocytes, an enlarged hepatic plate gap, and necrosis, were revealed on the structural examination of liver tissues. Based on our results, we conclude that sub-lethal doses of rGO (10 mg/L) could be harmful to zebrafish. Rutin supplementation between 100 and 200 mg/L can protect against the toxic effects of rGO, even though rGO is detrimental to the exposed fish population.

Force analysis and treatments for Lidong tunnel of Renxin expressway crossing karst caves

There are several large karst caves at haunch part of the Lidong Tunnel during construction, together with inrush water due to high pressure within these caves. In light of it, this paper takes YK342+113 section as an example and adopts finite difference software FLAC 3D, so as to analyze tunnel deformation when crossing karst caves under six different working conditions, including with or without karst cave, before and after karst treatment, along with support locations. According to analysis results: First, the wall rock mainly had deformation at tunnel vault when evacuating at the third bench, which is a critical monitoring focus for tunnel construction; Second, karst cave treatment contributed to better conduct forces on both sides of wall rock, thus reducing vault settlement, while not affecting horizontal convergence and upturn of vaults; Third, treatment measures were proved to be effective in minimizing wall rock deformation by comparing deformation curves under different conditions; Fourth, after treatment measures, the angular points within the cave’s chamber had stress concentration, which might cause secondary collapse. Field monitoring data revealed that the final settlement of the tunnel vault was relatively consistent with the numerical analysis results, with a distinct change in daily settlement after initial support construction. By integrating numerical analysis and field monitoring, the rationality of the karst treatment plan was fully verified, providing a valuable reference for similar projects.

Duals of Continuous Frames in Hilbert C∗-Modules

The concept of frame is an exciting, dynamic, and fast-paced subject with applications in numerous fields of mathematics and engineering. The purpose of this paper is to introduce equivalent ∗-continuous frames and to present ordinary duals of constructed ∗-continuous frames by an adjointable and invertible operator. Also, we establish some properties.

Tandem Mass Spectrometry across Platforms.

PubChem serves as a comprehensive repository, housing over 100 million unique chemical structures representing the breadth of our chemical knowledge across numerous fields including metabolism, pharmaceuticals, toxicology, cosmetics, agriculture, and many more. Rapid identification of these small molecules increasingly relies on electrospray ionization (ESI) paired with tandem mass spectrometry (MS/MS), particularly by comparison to genuine standard MS/MS data sets. Despite its widespread application, achieving consistency in MS/MS data across various analytical platforms remains an unaddressed concern. This study evaluated MS/MS data derived from one hundred molecular standards utilizing instruments from five manufacturers, inclusive of quadrupole time-of-flight (QTOF) and quadrupole orbitrap "exactive" (QE) mass spectrometers by Agilent (QTOF), Bruker (QTOF), SCIEX (QTOF), Waters (QTOF), and Thermo QE. We assessed fragment ion variations at multiple collisional energies (0, 10, 20, and 40 eV) using the cosine scoring algorithm for comparisons and the number of fragments observed. A parallel visual analysis of the MS/MS spectra across instruments was conducted, consistent with a standard procedure that is used to circumvent the still prevalent issue of mischaracterizations as shown for dimethyl sphingosine and C20 sphingosine. Our analysis revealed a notable consistency in MS/MS data and identifications, with fragment ions' m/z values exhibiting the highest concordance between instrument platforms at 20 eV, the other collisional energies (0, 10, and 40 eV) were significantly lower. While moving toward a standardized ESI MS/MS protocol is required for dependable molecular characterization, our results also underscore the continued importance of corroborating MS/MS data against standards to ensure accurate identifications. Our findings suggest that ESI MS/MS manufacturers, akin to the established norms for gas chromatography mass spectrometry instruments, should standardize the collision energy at 20 eV across different instrument platforms.

High-efficiency broadband pixelated polarization routers based on metalenses

Polarization imaging is of particular significance in numerous fields ranging from underwater depth measurement, anti-counterfeiting to medical diagnosis. Metasurface-based polarizers have been efficiently demonstrated in various polarization measurements, which have great application prospects compared with traditional optical elements. However, Polarizers based on metalenses (i.e. metasurface lenses) are often designed to work in a single wavelength and are hard to work in a broadband wavelength region, which hinders practical imaging applications. Here, we designed a metalenses-based pixelated polarization router (PPR) that can be used as a full-Stokes polarizer for the whole visible wavelength range. As the PPRs are designed using polarization multiplexing to encode two different phase profiles and utilizing spatial multiplexing by the construction of a supercell, the transmittance and focusing efficiencies are calculated to be as high as ∼60% over the whole visible regime. The visible PPRs can be directly inserted between the Bayer color filter and the intensity-based photodetectors in a conventional imaging system, so that both the color and polarization information can be collected simultaneously.

Enhancing performance evaluation of low-cost inclinometers for the long-term monitoring of buildings

The development of low-cost structural and environmental sensors has revolutionized monitoring practices across numerous fields, enabling cost-effective solutions for infrastructure and building health assessment. However, a critical challenge associated with these sensors is their long-term durability and reliability. Surprisingly, despite the significant interest in these low-cost devices, the literature does not present any solutions for ensuring their long-term performance. To address this gap, this study proposes an innovative artificial intelligence-based approach for evaluating the long-term performance of low-cost inclinometers using a low-cost adaptable reliable anglemeter. This method automatically compares the inclinations of actual onsite measurements with predicted values under real environmental conditions. Over time, if the discrepancies between both measurements surpass a predefined statistical threshold, it may signal potential inaccuracies in the low-cost inclinometer, thereby suggesting the need for recalibration or presence of structural anomalies. The effectiveness and applicability of the proposed tool were demonstrated through a long-term study conducted on a real steel frame in Spain.

Multicomponent Reductive Coupling for Selective Access to Functional γ-Lactams by a Single-Atom Cobalt Catalyst.

Despite their significant importance to numerous fields, the difficulties in direct and diverse synthesis of α-hydroxy-γ-lactams pose substantial obstacles to their practical applications. Here, we designed a nitrogen and TiO2 co-doped graphitic carbon-supported material with atomically dispersed cobalt sites (CoSA-N/NC-TiO2), which was successfully applied as a multifunctional catalyst to establish a general method for direct construction of α-hydroxy-γ-lactams from cheap and abundant nitro(hetero)arenes, aldehydes, and H2O with alkynoates. The striking features of operational simplicity, broad substrate and functionality compatibility (>100 examples), high step and atom efficiency, good selectivity, and exceptional catalyst reusability highlight the practicality of this new catalytic transformation. Mechanistic studies reveal that the active CoN4 species and the dopants exhibit a synergistic effect on the formation of key acid-masked nitrones; their subsequent nucleophilic addition to the alkynoates followed by successive reduction, alkenyl hydration, and intramolecular ester ammonolysis delivers the desired products. In this work, the concept of reduction interruption leading to new reaction route will open a door to further develop useful transformations by rational catalyst design.

Raman spectroscopic insights into the transition to the post-post-perovskite phase in NaZnF3

The phase transition sequence of perovskite materials is an important subject in numerous fields ranging from geophysics to material science. The fluoride NaZnF3, adopting the distorted perovskite (Pv) structure (GdFeO3-type), is a model system for studying such transitions. Up to date compression experiments on this compound, limited to pressures of 40 GPa, have identified a perovskite to post-perovskite (pPv, CaIrO3-type structure) transition to occur above 11 GPa followed by yet another transition commencing at 25 GPa and leading to a post-post-perovskite (ppPv) phase whose structure is yet to be identified. Here we present high-pressure Raman spectroscopic study aided by Density Functional Theory (DFT) calculations to explore the phase transition sequence of NaZnF3 at pressures reaching 70 GPa. We confirm that NaZnF3 undergoes a gradual phase transition between the GdFeO3 and CaIrO3 phases starting at 12 GPa. Our results also indicate that above 31 GPa, the CaIrO3 polymorph slowly transforms to the ppPv phase which we unambiguously confirm to adopt the metastable Sb2S3-type structure despite the ground state structure above 23 GPa being La2S3. The transition into Sb2S3-type structure type instead of the La2S3 polytype is most probably due to kinetic effects which also hinder the predicted decomposition of NaZnF3.

Exploring the Potentials of Artificial Intelligence Image Generators for Educating the History of Architecture

The rapid integration of Artificial Intelligence (AI) tools, specifically text-to-image generators, across various domains has had a profound impact on numerous fields. Despite this, the potential applications of AI image generators in architectural education, particularly in teaching the history of architecture, remain underexplored. This research aims to uncover the possibilities of utilizing AI image generators, with a specific focus on the capabilities of Leonardo AI, to enhance communication and engagement. This study employed an experimental methodology to investigate how the integration of AI image generators in education on the subject of “History of Architecture” promises to elevate the learning experience, offering new perspectives, visualizations, and interactive tools. Two workshops were conducted with university students to explore AI image generators’ potential applications in architectural history education. The first workshop utilized an iterative approach, while the second aimed to assess students’ analytical skills. The ultimate objective was to determine the capabilities of this tool and stimulate discussions regarding its potential future implementations. Following the workshops, online questionnaires were administered to students, and interviews were conducted with educators. The findings of this research underscore the need for validating AI-generated images, establishing guidelines to prevent misuse, and designing tailored AI tools for History of Architecture courses, thereby paving the way for further advancements in architectural history education.

Health data sharing attitudes towards primary and secondary use of data: a systematic review

To receive the best care, people share their health data (HD) with their health practitioners (known as sharing HD for primary purposes). However, during the past two decades, sharing for other (i.e., secondary) purposes has become of great importance in numerous fields, including public health, personalized medicine, research, and development. We aimed to conduct the first comprehensive overview of all studies that investigated people's HD sharing attitudes-along with associated barriers/motivators and significant influencing factors-for all data types and across both primary and secondary uses. We searched PubMed, MEDLINE, PsycINFO, Web of Science, EMBASE, and CINAHL for relevant studies published in English between database inception and February 28, 2023, using a predefined set of keywords. Studies were included, regardless of their design, if they reported outcomes related to attitudes towards sharing HD. We extracted key data from the included studies, including the type of HD involved and findings related to: HD sharing attitudes (either in general or depending on type of data/user); barriers/motivators/benefits/concerns of the study participants; and sociodemographic and other variables that could impact HD sharing behaviour. The qualitative synthesis was conducted by dividing the studies according to the data type (resulting in five subgroups) as well as the purpose the data sharing was focused on (primary, secondary or both). The Newcastle-Ottawa Scale (NOS) was used to assess the quality of non-randomised studies. This work was registered with PROSPERO, CRD42023413822. Of 2109 studies identified through our search, 116 were included in the qualitative synthesis, yielding a total of 228,501 participants and various types of HD represented: person-generated HD (n=17 studies and 10,771 participants), personal HD in general (n=69 studies and 117,054 participants), Biobank data (n=7 studies and 27,073 participants), genomic data (n=13 studies and 54,716 participants), and miscellaneous data (n=10 studies and 18,887 participants). The majority of studies had a moderate level of quality (83 [71.6%] of 116 studies), but varying levels of quality were observed across the included studies. Overall, studies suggest that sharing intentions for primary purposes were observed to be high regardless of data type, and it was higher than sharing intentions for secondary purposes. Sharing for secondary purposes yielded variable findings, where both the highest and the lowest intention rates were observed in the case of studies that explored sharing biobank data (98% and 10%, respectively). Several influencing factors on sharing intentions were identified, such as the type of data recipient, data, consent. Further, concerns related to data sharing that were found to be mutual for all data types included privacy, security, and data access/control, while the perceived benefits included those related to improvements in healthcare. Findings regarding attitudes towards sharing varied significantly across sociodemographic factors and depended on data type and type of use. In most cases, these findings were derived from single studies and therefore warrant confirmations from additional studies. Sharing health data is a complex issue that is influenced by various factors (the type of health data, the intended use, the data recipient, among others) and these insights could be used to overcome barriers, address people's concerns, and focus on spreading awareness about the data sharing process and benefits. None.

Long-term stable pH sensor array with synergistic bilayer structure for 2D real-time mapping in cell culture monitoring

Pursuing accurate, swift, and durable pH sensors is important across numerous fields, encompassing healthcare, environmental surveillance, and agriculture. In particular, the emphasis on real-time pH monitoring during cell cultivation has become increasingly pronounced in the current scientific environment—a crucial element being diligently researched to ensure optimal cell production. Both polyaniline (PANi) and iridium oxide (IrOx) show their worth in pH sensing, yet they come with challenges. Single-PANi-layered pH sensors often grapple with diminished sensitivity and lagging responses, while electrodeposited IrOx structures exhibit poor adhesion, leading to their separation from metallic substrates—a trait undesirable for a consistently stable, long-term pH sensor. This paper introduces a bi-layered PANi-IrOx pH sensor, strategically leveraging the advantages of both materials. The results presented here underscore the sensitivity enhancement of binary-phased framework, faster response time, and more robust structure than prior work. Through this synergistic strategy, we demonstrate the potential of integrating different phases to overcome the inherent constraints of individual materials, setting the stage for advanced pH-sensing solutions.

Topological numbers of fuzzy soft graphs and their application

The diagram kind of a graph is used to show accumulated data. Graphs can be utilized for a variety of purposes because this data can be either quantitative or qualitative. Graphs can be used to model different relationships and processes in physical, biological, and social media marketing systems, and in finding directions on a map. A graph with properties attached to its nodes and edges that emphasize its applicability to real-world systems is sometimes called a network. The idea of fuzzy sets has developed in numerous ways and across many areas since its establishment in 1965. Applications of this theory can be found in numerous fields for instance in recognition of patterns, management science, AI, computer science, medicine, also in control engineering. The progress of mathematics has reached a very high level and continues now. While classical graph theory is widely applied in several domains, there are instances where its outcomes can be subject to uncertainty. In order to address this challenge, the utilization of the fuzzy theory of graphs is adopted, as it offers more accurate outcomes. There is a lack of a parameterization tool in fuzzy graph theory, as a consequence Molodtsov introduced soft set theory, which is a rather recent way to talk about ambiguity and vagueness. It is becoming more and more popular among scholars and is a novel approach to uncertainty and ambiguity simulation. The concept of soft graphs offers a parameterized perspective on graphs. In this article, we defined some familiar graph families in a fuzzy soft (FS) environment and by calculating their degrees, derived important results for two versions of Sombor numbers. In the end, we discussed an application of calculated results and by comparison, checked the efficiency of Sombor numbers in a FS framework.

Cytogenotoxic and antimicrobial effects of Nezara viridula (L.) (Hemiptera: Heteroptera: Pentatomidae) alcoholic extracts

Due to their multifunctionality and the numerous fields of applicability, insects are extensively studied today for both their biomedical and nutritional properties. In the current study the cytogenotoxic and antimicrobial potential of ethanol and methanol extracts of Nezara viridula (Linnaeus 1758) was evaluated using the Allium test, respectively the disk diffusion test. A mitostimulatory effect of the extracts of N. viridula and a variation of the cytogenotoxic activity of the extracts in a gender-dependent manner was noticed. As well, significant variations of the mitotic index were determined through the type of solvent used and the concentration of the extracts. High frequency chromosomal aberrations and mitotic abnormalities were recorded with high concentration ethanolic extracts. Following the testing of four standard bacterial strains and two standard yeast strains, a slightly antimicrobial activity was observed when compared to control. The use of invasive species in such studies opens up new perspectives on the potential of organisms considered harmful.

A Review on Widely Used Diagnostic Technique to Rule Out Malnutrition in Children (Under 5 Years)

Anthropometric pointers are most effectively used to describe the nutritive status of populations as an expression of the magnitude and distribution of under nutrition. They're less accurate than other styles, still, when it comes to assessing individual nutritive status. In numerous field situations where coffers are oppressively limited, it's possible to use anthropometry as a webbing device to identify individualities at threat of under nutrition. This primary opinion can be followed up with a more elaborate disquisition using other ways. A stubborn continuity of child severe acute malnutrition and continued gaps in program content have made relating styles for expanding the discovery, opinion, and treatment of SAM a critical public health need. There's a growing agreement that making mid-upper arm circumference use more extensively accessible among caregivers and community health workers is an important coming step in farther decentralizing SAM care and adding program content, including the capability of CHWs to treat uncomplicated SAM in community settings. Keywords: Malnutrition, Nutrition, Moderate acute malnutrition, Anthropometry.

Features of calculating the strength of gantry and ship cranes gear units in the probabilistic aspect

The performed study is the result of collecting statistical data on failures of port transshipment and floating cranes. It is found that many accidents of components and parts of crane mechanisms can be associated with an erroneous determination of design loads. In order to increase the strength reliability, numerous field tests were carried out in river and sea ports under various modes of transshipment for different types of cargo. Tests have shown that operational loads are random in nature, and their laws of distribution over time of individual crane mechanisms can be approximated by truncated normal Gauss laws, accounting for which at the stage of new design developments, as shown by the practice of performing strength fatigue calculations, is not possible. In the article, in order to use the obtained laws at the design stage, it is proposed to replace the representation of operational loads with initial moments that are common to the entire crane mechanism, and transfer individual characteristics consideration such as stress concentration coefficients, fatigue curve parameters, operating time or test base, to subsequent stages of machine components development. For practical testing of the operational loads representation by the normal Gauss laws, a critical analysis of their initial moments, which makes it possible to identify inconsistencies in the representations of variable loads proposed for strength calculation, is given. For the corrected truncated normal load distribution law, the initial moments, the value of the order of which corresponds to the formulas structure used in calculating fatigue resistance at variable load amplitudes (in particular, under alternating loading modes), are determined. The presentation of corrected normal distribution laws with initial moments complements the normative documents used in practice when performing strength calculations under variable loading conditions, significantly simplifies calculations and makes it possible to take it into account at the stage of new design developments in accordance with the formulas established in the current normative documents.

Edible microbial cellulose-based antimicrobial coatings and films containing clove extract

Recently, microbial cellulose-based coatings and films have attracted substantial attention because of their promising uses in numerous fields, such as food packaging. The present work was designed to synthesize active microbial cellulose-based coatings and films with a comprehensive investigation of their antimicrobial and structural properties. Microbial cellulose was synthesized by using a gram-negative bacterium called Acetobacter aceti. The produced microbial cellulose was mixed with sodium alginate, chitosan and starch to obtain two different composite solutions, i.e., microbial cellulose + starch + chitosan (MSC) and microbial cellulose + starch + sodium alginate (MSS). The antimicrobial properties were achieved by incorporating four different concentrations of clove extract into the composite solutions. The resulting composite solutions were tested against S. aureus, Shigella, Salmonella, and E. coli through the agar diffusion assay method. The clove extract was found to be effective in inhibiting the growth of these pathogens, as a clear zone of inhibition was observed at all clove extract concentrations, with a maximum zone of inhibition of 4.0 ± 0.05 cm on E. coli for the MSC solution incorporated with 4% clove extract. The best antimicrobial solutions found were then casted into films by pouring the solutions into petri dishes and drying at 50 °C in a tray drier. The antimicrobial activity was again evaluated for the films. The results indicated that MSC 3% showed a greater zone of inhibition against all pathogens (1.7 ± 0.18 cm). Furthermore, structural and thermal analyses of the formed films were conducted. The results indicated distinctive antimicrobial and structural characteristics of the films.Graphical

Utilizing Machine Learning Algorithms for Architectural Design

With the development of digital technology, artificial intelligence has brought a paradigm shift in numerous fields. Machine learning is used as a decision making tool to analyze large data and produce output data with similar characteristics. This paper aims to explore and analyze the influence of artificial intelligence on the architectural designing process. In the second section, traditional methods of architectural design are observed. The third section explains the methodology of machine learning and its current limitations. The fourth section investigates several real world applications of machine learning in designing architecture, and the last section speculates on the potential directions that the field of architectural design could take as machine learning continues to advance.

Mechanism and control of strong rock pressure in the gully area under compound key strata

AbstractIn view of the problem strong rock pressure is easy to occur in coal seam mining in western gully terrain. Based on the coal seam mining conditions in the gully area under the compound key strata of Zhujiamao Coal Mine, the methods of similar simulation, theoretical calculation and analysis, numerical simulation and field measurement are adopted. The dynamic structure model of the key strata of the gully is constructed, and the mechanism and prevention and control measures of the strong rock pressure in the gully area of the working face under the compound key strata are analyzed. The research shows that the upper slope section of the gully area first undergoes rotary deformation, and then the chain structure formed by the broken block occurs sliding instability and impacts inferior key strata, resulting in strong rock pressure behavior in the working face. The calculation formula of the first breaking step distance of the main key strata rotation deformation and sliding instability during the movement of the overlying strata is derived. The calculation results show that the initial rotation deformation and sliding instability breaking step distances are 27 and 142 m, respectively, which are in good agreement with the support crushing at 145 m of the first gully. Using 3DEC numerical simulation, the stress of the second gully is reduced by 3.8 MPa after pressure relief, which verifies the position of strong rock pressure calculated by the formula and provides a theoretical basis for subsequent hydraulic fracturing. According to the mechanism, the comprehensive prevention and control measures of strong rock pressure in gully terrain are put forward. The support resistance of the working face is calculated to be 10,011 kN by the support resistance formula, and the ZY11000/14/34D hydraulic support is used. The working resistance of the calculated dangerous area after hydraulic fracturing is basically lower than 30 MPa, and the control effect is good. It has reference significance for coal seam mining through gully terrain.