Efficient Means Research Articles

GEARBOCS: An Adeno Associated Virus Tool for In Vivo Gene Editing in Astrocytes.

Astrocytes are indispensable for brain development, function, and health. However, molecular tools to study astrocyte biology and function in vivo have been largely limited to genetically modified mice. Here, we developed a CRISPR/Cas9-based gene editing strategy within a single AAV vector that enables efficient genome manipulations in astrocytes. We designed and optimized this easy-to-use viral tool to understand gene expression, protein localization and function in astrocytes in vivo .

A Review on Privacy Protection Techniques in Smart Grid Applications

: The extensive use of electricity and the increasing number of consumers challenge matching power consumption with the power generated. Having a traditional way of power generation and distribution, power is also widely fetched through renewable energy sources. So, to have improved efficiency and reliable means of the power source, to be able to integrate multiple sources of power generation like PV Cells, Solar Power, and Wind Power into the existing standards of the power source, precise calculations of the power consumption in the multisource environment, provision to scale up the smart and electric vehicle and most importantly, to reduce the carbon emissions, several attempts have been made to convert the traditional grids into smart grids. A tiny step in the smart grid's development is the smart metering infrastructure, in which smart meters are deployed through the consumer end. Through smart meters, it is possible to establish the link, either through wireless media or wired connections, between the consumer and the grid. Once the smart meters are deployed through the Advanced Metering Infrastructure (AMI), the meters remain active round the clock, giving a window to hackers. Through this window, utility bill manipulations, payment transaction information, and other significant data can be accessed by unethical approaches and threaten the consumer's privacy. This review-research paper discusses various methods presented by distinct authors to address the issues related to customer privacy protection in the smart grid.

Adaptive 3D Mesh Steganography Based on Feature-Preserving Distortion.

Current 3D mesh steganography algorithms relying on geometric modification are prone to detection by steganalyzers. In traditional steganography, adaptive steganography has proven to be an efficient means of enhancing steganography security. Taking inspiration from this, we propose a highly adaptive embedding algorithm, guided by the principle of minimizing a carefully crafted distortion through efficient steganography codes. Specifically, we tailor a payload-limited embedding optimization problem for 3D settings and devise a feature-preserving distortion (FPD) to measure the impact of message embedding. The distortion takes on an additive form and is defined as a weighted difference of the effective steganalytic subfeatures utilized by the current 3D steganalyzers. With practicality in mind, we refine the distortion to enhance robustness and computational efficiency. By minimizing the FPD, our algorithm can preserve mesh features to a considerable extent, including steganalytic and geometric features, while achieving a high embedding capacity. During the practical embedding phase, we employ the Q-layered syndrome trellis code (STC). However, calculating the bit modification probability (BMP) for each layer of the Q-layered STC, given the variation of Q, can be cumbersome. To address this issue, we design a universal and automatic approach for the BMP calculation. The experimental results demonstrate that our algorithm achieves state-of-the-art performance in countering 3D steganalysis.

Modified Titanium dioxide-based photocatalysts for water treatment: Mini review

Titanium dioxide (TiO2), recognized for its affordability, low cost, high chemical stability, and eco-friendliness, has garnered extensive research attention in recent years. But because of the TiO2 band gap (>3.2eV) seriously limit the use of visible light, and fast electron-hole composite in TiO2 often lead to poor photocatalytic activity and low quantum yield. Therefore, TiO2 needs to be modified. Modification can change the broadband gap of TiO2, enhance light absorption, thus affect the important means of photocatalytic efficiency. In this review, we introduce the crystal form and photocatalytic mechanism of TiO2, and review some modification strategies of TiO2, including doping modification, construction of heterojunctions, crystal plane engineering and defect engineering. Furthermore, we review the application of modified TiO2-based photocatalytic materials in water treatment, including the removal of dye contaminants, antibiotics, advanced oxidative sterilization, and finally explore the challenges and prospects of modified TiO2-based photocatalysts.

Spatio-temporal variation and relationship between agricultural efficiency and irrigation intensity in a semi-arid region of India

A surging population in Karnataka State, a semi-arid region in India, poses a threat to both food security and livelihood sustainability, necessitating a concentrated effort to bolster agricultural efficiency and achieve United Naton’s Sustainable Development Goal 2 (zero hunger). Therefore, in order to address the pressing issue of food scarcity in Karnataka, this study meticulously examined the spatio-temporal variation of agricultural efficiency and irrigation intensity in Karnataka, uncovering its significant dependence of agricultural efficiency on irrigation intensity. Specifically, this study used a one-way analysis of variance (ANOVA) to ascertain significant differences in the means of agricultural efficiency and irrigation intensity during 2004–2005 and 2018–2019. This study showed that the maximum improvement in agricultural efficiency index was recorded in Belgaum (40.24), Gulbarga (24.77), and Yadgir districts (22.92) between 2004–2005 and 2018–2019, which indicated the progressing trend and better scope for agriculture extension. On the contrary, some districts expressed threat (a decline of above 20.00 of agricultural efficiency index) and needed special care for the improvement of agricultural efficiency in four northern districts (Bagalkot, Bidar, Raichur, and Bijapur), three southern districts (Chitradurga, Chikballapur and Hassan), and two southern districts (Koppal and Gadag) in Karnataka. During 2004–2005, irrigation intensity varied from 3.19% to 56.39%, with the lowest irrigation intensity in Kodagu District and the highest irrigation intensity in Shimoga District. During 2018–2019, irrigation intensity changed from 0.77% to 72.77%, with the lowest irrigation intensity in Kodagu District and the highest in Dakshin Kannad District. Moreover, the research scrutinized the complex relationship between agricultural efficiency and irrigation intensity, with the correlation coefficient increased from 0.162 during 2004–2005 to 0.255 during 2018–2019. It implies that in both periods, a low positive correlation existed between these two variables. Over time, several factors (high-yield seeds and chemical fertilizers) other than irrigation intensity gradually became essential for agricultural efficiency. This research offers a wealth of valuable insights for regional planners and policy-makers contending with comparable challenges in various regions of India and other developing countries.

Relationships between Serotonin Transporter Availability and the Global Efficiency of the Executive Control Brain Network.

The diverse effects of serotonin on cognition may emerge from the modulation of large-scale brain networks that support distinct cognitive processes. Yet, the specific effect of serotoninergic modulation on the properties of these networks remains elusive. Here, we used a simultaneous PET-fMRI scanner combined with graph theory analyses to investigate the modulation of network properties by the Serotonin Transporter (SERT) availability measured in the dorsal raphe nucleus (DRN). We defined global efficiency as the average mean of efficiencies over all pairs of distinct nodes of specific brain networks, and determined whether SERT levels correlated with the global efficiency of each network. SERT availability in the DRN correlated negatively with the global efficiency of the executive control brain network, which is engaged in cognitive control and directed attention. No relationship was observed between SERT availability and the global efficiency of the default mode or the salience brain networks. These findings indicate a specific role of serotoninergic modulation in the executive control brain network via a change in its global efficiency.

Driving under the influence of psychoactive substances.„Influence” an issue in judicial practice?

"At the end of the 19th century, the punitive celebration disappears, punishment becomes the most hidden part of the criminal process, leaving the domain of everyday perception to enter in abstract consciousness," recorded Michel Foucault in his famous work "Discipline and Punish: The Birth of the Prison" (Foucault, 1997). Therefore, it tends to a change of paradigm, it is desired that the effectiveness of the punishment is not the product of its visible intensity, but of the high degree of certainty. Metamorphosed from a theatrical act (often violent and public) into an administrative act, hidden from the eyes of citizens, criminal policy had to be adapted to encompass the new valence of the act of justice. One of the main means of punitive efficiency by referring to the abstract consciousness is that of the punishment limits that the legislator adjusts according to the criminal phenomenon, aiming both at an inhibitory, repressive and educational effect. It has often been assumed that the criminal recrudescence is due to low sentencing limits, and thus increasing the sentencing limits has been considered to fight all crime, omitting the adaptation of the entire legal norm to contemporary realities. Even the judicial act was not spared from this approach, although the scientific processes evolved and the probation together with them, in the face of a rigid legal norm, the judicial practice refuses to adapt to the new reality. Against the background of a national hysteria due to the scourge of drugs, legal arguments take precedence over scientific arguments.

Highly efficient catalytic degradation of organic dyes using iron nanoparticles synthesized with Vernonia Amygdalina leaf extract

Today, nanoscience explores the potential of nanoparticles due to their extraordinary properties compared to bulk materials. The synthesis of metal nanoparticles using plant extracts is a very promising method for environmental remediation, which gets global attention due to pollution-led global warming. In the present study, iron nanoparticles (FeNPs) were successfully synthesized by the green method using Vernonia amygdalina plant leaf extract as a natural reducing and capping agent. Biosynthesized FeNPs were characterized with different analytical techniques such as UV–visible, FT-IR, XRD, and SEM. The analysis revealed the formation of amorphous FeNPs with an irregular morphology and non-uniform distribution in size and shape. The average particle size was approximately 2.31 µm. According to the catalytic degradation investigation, the FeNPs produced via the green approach are highly effective in breaking down both CV and MB into non-toxic products, with a maximum degradation efficiency of 97.47% and 94.22%, respectively, when the right conditions are met. The kinetics study exhibited a high correlation coefficient close to unity (0.999) and (0.995) for the degradation of MB and CV, respectively, for the zero-order pseudo-kinetics model, which describes the model as highly suitable for the degradation of both dyes by FeNPs compared to other models. The reusability and stability of biosynthesized nano-catalysts were studied and successfully used as efficient catalysts with a slight decrease in the degradation rate more than four times. The results from this study illustrate that green synthesized FeNPs offer a cost-effective, environmentally friendly, and efficient means for the catalytic degradation of organic dyes.

Abstract 25: Association Between Household Sleep Environment and Sleep Health Characteristics: The Coronary Artery Risk Development in Young Adults (CARDIA)—Sleep Study

Introduction: Household environmental factors and sleep behaviors may contribute to poor sleep health. We identified associations between household sleep environment (HHSE) and sleep health characteristics. Hypothesis: Individuals with adverse HHSE will have poorer sleep health. Methods: We used cross-sectional data from the CARDIA sleep ancillary study at Year 35. HHSE (i.e., sleep disruptors and sleep behaviors) scores were derived from responses to questions in the questionnaire (see Table footnote), where a higher score indicated higher sleep disruptors or more detrimental sleep behaviors. Sleep outcomes were: 1) sleep quality assessed with the Pittsburgh Sleep Quality Index (PSQI) and daytime sleepiness assessed with the Epworth Sleepiness Scale (ESS) (N=699) and 2) sleep duration (minutes) and efficiency (%) measured by 7-day wrist actigraphy (N=574). Robust regression estimated differences in sleep outcomes corresponding to each 1-score increment in HHSE. We adjusted for age, sex, race, education, smoking status, body mass index, depressive symptoms, and comorbidities. Racial differences in associations of interest were examined by testing for interaction. Results: Participants mean age was 61.5 years, 63.1% were female and 35.9% were Black. Means (SD) of PSQI, ESS scores, sleep duration, and sleep efficiency were 6.2 (3.7), 5.5 (3.7), 414.6 minutes (SD=60.4), and 84.4% (SD= 6.7), respectively. After multivariable adjustment, both higher sleep disruptors and more detrimental sleep behaviors were associated with poorer sleep quality and greater daytime sleepiness. HHSE showed no association with sleep duration and efficiency (Table 1). Sleep disruptors were only significantly associated with daytime sleepiness among Black participants (p-interaction= 0.01). Conclusions: Adverse household sleep environment was related to poorer subjective sleep quality and daytime sleepiness. Future studies should investigate reasons why Black adults appear more susceptible to household sleep disruptors.

Formulation and optimisation of Ozenoxacin topical nano-emulgel including a comprehensive methodology to qualify and validate the critical parameters of an in-vitro release test method and ex-vivo permeation test

Objective The purpose of this study was to formulate, optimize Ozenoxacin topical nano-emulsion using factorial design followed by to prepare and evaluate nano-emulgel using validated in-vitro release testing (IVRT) technique for determination of Ozenoxacin release rate along with ex-vivo permeation testing (EVPT). Significance: Nano-emulgel is a proven delivery system for poorly soluble substances works by enhancing the solubility and bioavailability. Factorial design provides a systematic and efficient means to study the effect of multiple factors on responses. IVRT is an USP compendia technique utilized for performance analysis of semi-solid formulations. Methods Nano-emulsion formulation optimization was done with factorial design, evaluated for globule size and % entrapment efficiency (EE). Nano-emulgels were characterized for assay, organic impurities, rheological behavior, IVRT, EVPT, and skin retention studies. IVRT validation was executed using vertical diffusion cells (VDCs). Results Ozenoxacin nano-emulsion was optimized with 1:1 ratio of Oil: Smix, 3:1 ratio of Surfactant:Co-Surfactant, and 15000 RPM of homogenization speed which resulted 414.6 ± 5.2 nm globule size and 92.8 ± 2.1% entrapment efficiency. Results confirmed that IVRT and Reversed Phase – High Performance Liquid Chromatographic techniques were validated as per regulatory guidelines. In-vitro, ex-vivo drug release, and skin retention from the optimized nano-emulgel formulation was comparatively higher (∼1.5 times) than that from the innovator (OZANEXTM) formulation. Conclusions Based on these results, Ozenoxacin nano-emulgel can be considered an effective alternative and was found to be stable at 40 °C/75% RH and 30 °C/75% RH storage condition for 6 months.

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell research. In recent years, deep learning has emerged as a powerful tool for cell image analysis and classification/prediction. In this study, we explored the feasibility of employing deep learning techniques to differentiate murine HSCs and MPPs based solely on their morphology, as observed through light microscopy (DIC) images. After rigorous training and validation using extensive image datasets, we successfully developed a three-class classifier, referred to as the LSM model, capable of reliably distinguishing long-term HSCs, short-term HSCs, and MPPs. The LSM model extracts intrinsic morphological features unique to different cell types, irrespective of the methods used for cell identification and isolation, such as surface markers or intracellular GFP markers. Furthermore, employing the same deep learning framework, we created a two-class classifier that effectively discriminates between aged HSCs and young HSCs. This discovery is particularly significant as both cell types share identical surface markers yet serve distinct functions. This classifier holds the potential to offer a novel, rapid, and efficient means of assessing the functional states of HSCs, thus obviating the need for time-consuming transplantation experiments. Our study represents the pioneering use of deep learning to differentiate HSCs and MPPs under steady-state conditions. This novel and robust deep learning-based platform will provide a basis for the future development of a new generation stem cell identification and separation system. It may also provide new insight into the molecular mechanisms underlying stem cell self-renewal.

A neoclassical validation of balanced and unbalanced rotations on EAST H-mode discharges

Predicting residual stress (RS) contribution to intrinsic rotation is one of the major challenges in the study of momentum transport in tokamaks. One efficient experimental means of quantifying RS torque magnitude is to generate radially-flat and near-zero rotation profiles, termed ‘balanced rotations’ in this work, using counter-Ip Neutral Beam Injections (NBIs) to effectively cancel the torques from co-Ip NBIs. One remaining question, however, is on whether or not the attained velocity profile is well zeroed and flat enough so that the predicted RS torques based on perfect balance assumption can be used for further studies such as fitting of diffusive and convective coefficients to match with experiments. This article presents a neoclassical means of validating the attained balanced and unbalanced rotations at EAST to consequently validate the predicted RS torque profiles, using TRANSP/NUBEAM and a recently-developed neoclassical rotation/transport code TransROTA (Bae et al 2024 Comput. Phys. Commun. 296 108992). Both balanced and unbalanced EAST H-mode discharges are analyzed to find that the suggested neoclassical validation methodology successfully validates attained balanced rotations. It also finds that neoclassical gyroviscous (NGV) torque serves as the balance-breaking mechanism for axisymmetric plasmas and the balance-breakings start from the core and propagate towards the edge. This work also suggests the possibility of using the neoclassical methodology to find locally-balanced rotations at an elevated velocity range near ∼20 km s−1, which implies possible scaling of RS torques up to a certain elevated velocity range.

Time-varying coding digital double-layered Huygens' metasurface for high-efficiency harmonic frequency conversion

Time-varying metasurfaces offer an efficient means of controlling nonlinear harmonics by manipulating component geometries and modulating signals. This ability renders them valuable across various fields, such as wireless communication, radar sensing, and biological monitoring. However, most of the energy in time-varying metasurfaces is concentrated in the fundamental wave, as well as scattered at various harmonic orders, which reduces the energy efficiency at the desired harmonic. Existing approaches have employed time-varying coding digital metasurfaces to achieve efficient harmonic conversion but are primarily designed for reflection. Reflection-based designs require a feed source to excite the metasurface, which can cause certain shielding effects and limit their application in specific scenarios. Thus, designing transmissive time-varying coding digital metasurfaces for efficient harmonic conversion is currently an urgent problem that needs to be addressed. To solve this problem, this paper develops a time-varying coding digital double-layered Huygens' metasurface, which achieves efficient conversion of the desired transmitted harmonics. The unit structure of the metasurface consists of a pair of reverse-symmetric split rings located on the upper and lower sides of a dielectric substrate, enabling nearly non-reflective Huygens' resonance. Based on a continuous periodic phase modulation strategy, we achieved efficient conversion of transmitted harmonics by loading a time-varying voltage (phase) modulation signal with a 5-bit resolution bit width onto the designed double-layered Huygens' metasurface. This study presents a solution for designing a transmissive time-varying coding digital metasurface to achieve efficient conversion of harmonics, thereby enhancing the application capabilities of time-varying coding digital metasurfaces.

Bioengineered xylanase from Misiones Argentina rainforest: A bakery enhancement approach.

In this study, we pursued the heterologous expression of the xylanase gene from Trichoderma atroviride, a native fungus in the province of Misiones, and used it to enhance the textural properties of baked goods through varying enzymatic concentrations. This marks the inaugural exploration into its functionality in the context of bread production. The recombinant xylanase exhibited improved activity, reaching 36,292UL-1, achieved by supplementing the culture medium with dextrose. Following the optimization of recombinant xylanase concentration, promising results emerged, notably reducing hardness and chewiness parameters of bread significantly. Our findings underscore the potential of this native fungal enzyme for industrial processes, offering a sustainable and efficient means to enhance the quality of baked goods with broad implications for the food industry. No prior research has been documented on the heterologous expression of the xylanase gene derived from T. atroviride, from the Misiones rainforest, expressed in Kluyveromyces lactis. PRACTICAL APPLICATION: This research, focusing on the isolation and cloning of xylanase enzyme from Trichoderma atroviride, a native fungus in the province of Misiones, offers a valuable tool for improving the texture of bakery products. By optimizing enzyme concentrations, our findings present a practical approach for the food industry, offering a viable solution to improve the overall quality and consumer satisfaction of bakery products.

Perception of Multigeneration Customers Towards Mobile Banking: A Study in Odisha

This research aims to investigate the perception of multigeneration customers towards mobile banking services in the state of Odisha, India. In recent years, mobile banking has gained prominence as a convenient and efficient means of financial transactions and management. However, the acceptance and utilization of these services can vary among individuals from different generations, given their varying levels of familiarity with technology and comfort with digital financial tools. This study seeks to understand the attitudes, preferences, and challenges faced by multigeneration customers in Odisha concerning mobile banking. The research will provide insights into the factors influencing the adoption of mobile banking services, ultimately contributing to a better understanding of the mobile banking landscape in Odisha.

Improved Carrier Separation and Recombination by Ferroelectric Polarization in the CuBiP2Se6/C2N Heterostructure: A Nonadiabatic Molecular Dynamics Study.

The rapid recombination of photogenerated carriers heavily restricts the photocatalytic efficiency. Here, we propose a new strategy to improve catalytic efficiency based on the ferroelectric van der Waals heterostructure (CuBiP2Se6/C2N). Combining density functional theory and the nonadiabatic molecular dynamics (NAMD) method, we have systematically analyzed the ground-state properties and carrier dynamics images in the CuBiP2Se6/C2N heterostructure. Our calculations showed that the ferroelectric polarization of CuBiP2Se6 provides the internal driving force for the photogenerated carriers separation. NAMD results demonstrate that the excited-state carrier transfer and recombination processes in the CuBiP2Se6/C2N are consistent with a type II mechanism. Meanwhile, constructing the ferroelectric heterostructure can effectively prolong the carrier lifetime, from ∼65.98 to ∼124.54 ps. Moreover, the high quantum efficiency and tunable band edge positions mean that the CuBiP2Se6/C2N heterostructure is an excellent potential candidate material for photocatalytic water splitting.

Linking direct rainfall hydrodynamic and fuzzy loss models for generating flood damage map

ABSTRACT This research work proposes a combined method for mapping flood loss in catchment scale in which direct rainfall modelling and fuzzy approach are linked. The direct rainfall modelling was carried out using HEC-RAS 2D in which rainfall event hyetograph was defined as the boundary condition, and infiltration layer and roughness layer were other main inputs of the model. The fuzzy loss model was developed to assess direct-tangible damages of the flood in which expert opinions were applied to generate verbal fuzzy rules of flood loss. In this model, depth and velocity are inputs and normalized flood loss (between 0 and 1) is output. The results of the direct rainfall model and the fuzzy loss model were combined to generate loss map using python scripting in geographical information system. The output of direct rainfall model was verified based on recorded depths at downstream hydrometric station in which the Nash–Sutcliffe efficiency (NSE) and root mean square error (RMSE) were applied as the evaluation indices. Due to acceptability of indices (NSE = 0.75, RMSE = 0.83 m), the direct rainfall model was reliable. Maximum flood loss was 0.91 in the case study. Using the proposed approach is recommendable for to improve flood damage assessment in the catchments.

Architectural engineering of MoSeS material for high-performance aluminum-ion batteries

Architectural engineering emerges as a promising strategy for modulating the energy storage performance of electrode materials. In this study, the incorporation of the S element and a graphene matrix led to the formation of a unique heterojunction structure and defect construction in MoSeS hybrids, resulting in heightened electronic conductivity and increased active sites for aluminum storage. Experimental findings, coupled with density functional theory calculations, indicate that architectural engineering effectively reduces the energy barrier and mitigates structural changes during the diffusion of Al3+. Consequently, MoSeS exhibits an exceptionally high specific capacity of 291.8 mAh/g at a current density of 100 mA g−1, a remarkable rate performance of 106.2 mAh/g at 1000 mA g−1, and outstanding cycling stability with a retained capacity of 158.5 mAh/g over 1000 cycles at 150 mA g−1. The heterojunction structure and defect construction strategy offer an efficient means to tailor electrode materials for high-performance aluminum-ion storage.

PERFORMANCE EVALUATION OF A PLASTIC BOTTLE-BASED SUBSURFACE IRRIGATION SYSTEM

Several attempts have been made by researchers for an efficient and cost-effective means of applying irrigation water, since traditional Surface irrigation system is becoming unsustainable due to water shortage. Adoption of most of these systems have failed because sophistication in design and complexity in setup. The use of recycled plastic bottles (PB) is another attempt at achieving a less complex system, yet promoting reuse of spent PB. Experimental Plot was set up in Samaru-Zaria, for a Subsurface irrigation system using recycled PB perforated at the base and connected to network of pipes. Evaluation of the system was carried out to determine the orifice size, orifice depth and the type of fertilizer application with the best agronomic yield parameters in RCBD design with sixteen (16) treatments replicated three (3) times. The results show the treatment with 3mm orifice size buried to 10mm depth with inorganic fertilizer performs best. The use of PB is therefore recommended for use in subsurface system to promote low-cost, less complex yet very effective water saving irrigation system.

Dynamic damage mechanism of coal with high true triaxial stress level subject to water jets

Deep mineral resources are abundant, and water jet technology has been proven to be an efficient means of developing this resource. In-situ stress is one of the prominent features in deep mines. However, the dynamic damage process of rock under the in-situ stress environment subject to water jets has not been revealed. Therefore, this study aims to fill this gap. For this study, coal breaking tests were performed to reveal the macro fracture patterns of coal under different true triaxial stress conditions. The results show that the bedding angle can significantly affect the coal-breaking characteristics, and when the bedding angle is 45° combines the advantages of length and aperture for jet drilling. When there is no geostress, the width of the cracks on the wall of the fracture pit is 3 μm, with a crack width of 7.5 μm at the bottom of the hole, and no through cracks generated under triaxial stress. Subsequently, further theoretical analysis and numerical simulation showed that the in-situ stress has a hysteresis and inhibitory effect on the dynamic damage evolution of jet coal breaking, hereby affecting the final fracture mode during the period. The results of this study will provide basic theoretical support for the jet drilling of rock in deep layered rock.