Sweet Spot Research Articles

CARE-RESISTANT BEHAVIOR TRAJECTORIES OF PERSONS WITH DEMENTIA IN NURSING HOMES AND DISTAL OUTCOMES IN ORAL HEALTH

Abstract Persons with dementia (PWD) who exhibit care-resistant behaviors (CRB) are likely to resist mouthcare and have poor oral health. This study aimed to examine predictors and describe the characteristics of CRB trajectories and their distal outcome in oral health among PWD in nursing homes (NH). Group-based trajectory modeling was used to analyze dynamic changes in CRB intensity over 21 days with two time-points (morning and afternoon) among 75 PWD. Sub-group analysis demonstrated the characteristics of each trajectory group membership. Distal-outcome models explored the association between oral health variation and mouthcare completion to CRB trajectories. The most influential predictors included CRB intensity at baseline, duration of mouthcare, and the number of antipsychotics prescribed. Three distinctive CRB trajectories were identified for both morning and afternoon in the context of mouthcare. Oral health status and the mouthcare completion rates differed by CRB trajectory groups, and worse oral health status was associated with higher level of CRB intensity trajectories. The High-start CRB groups had the worst oral health status and lowest mouthcare completion in both model estimation and pre-post test. Oral health showed improvement across all three trajectory groups. A tailored individual-level strategy based on a daily pattern of CRB intensity may provide the key to developing interventions that find the “sweet spot” between providing optimal mouthcare while minimizing CRB. Results imply that balancing CRB and mouthcare by providing morning-only mouthcare to those with high CRBs may allocate resources to PLWD most in need of mouthcare. Antipsychotics have not shown usefulness in managing CRB.

Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China

Assessment of production potential and prediction of sweet spots in unexploited shale gas wells are crucial technologies for achieving a high success rate in drilling. Most existing methods are only applicable for yield forecasting of shale gas wells with known geological and drilling/completion factors after production. In addition, the shale gas reservoir in the Longmaxi Formation in the southern Sichuan Basin of China is characterized by low porosity, low permeability, and diverse gas reservoir states. Thus, forecasting production from unexploited wells and predicting the exact location of the sweet spot under complex geological conditions have become challenging topic for both academia and industry. According to the first law of geography, shale gas wells that are closer in space have more similar geologic features. Based on this foundation, a machine-learning prediction model based on spatial correlation (SC-MLPM) is proposed for evaluating potential production of shale gas wells in the Changning play located in Longmaxi Formation in the southern Sichuan basin, China. Specifically, an improved K-nearest neighbor algorithm (SC-KNN) based on the spatial correlation characteristics of the exploited wells is designed to estimate the relevant geological factors of the unexploited wells in the same area. In addition, an extreme gradient lifting model based on Huber loss function (Hu-XGB) is developed to predict the potential production of unexploited shale gas wells, and then the shale gas sweet spot area in the research area is predicted quickly and accurately. The experimental results on 88 shale gas wells from Changning play show that the mean relative error of the prediction results of the proposed method is 9.8%. Furthermore, the results also determine that the sweet spots of shale gas wells in the research area are mainly developed in the northwest and northeast directions, and gradually become worse in the southeast direction. Eventually, experimental results for the Fox Creek play in Canada show that the proposed model obtains better predictive performance as the number of gas wells increases, and also verifies the generalizability. This work provides a basis for the efficient development of the research area.

A New Generation of Hydrogen-Fueled Hybrid Propulsion Systems for the Urban Mobility of the Future

The H2-ICE project aims at developing, through numerical simulation, a new generation of hybrid powertrains featuring a hydrogen-fueled Internal Combustion Engine (ICE) suitable for 12 m urban buses in order to provide a reliable and cost-effective solution for the abatement of both CO2 and criteria pollutant emissions. The full exploitation of the potential of such a traction system requires a substantial enhancement of the state of the art since several issues have to be addressed. In particular, the choice of a more suitable fuel injection system and the control of the combustion process are extremely challenging. Firstly, a high-fidelity 3D-CFD model will be exploited to analyze the in-cylinder H2 fuel injection through supersonic flows. Then, after the optimization of the injection and combustion process, a 1D model of the whole engine system will be built and calibrated, allowing the identification of a “sweet spot” in the ultra-lean combustion region, characterized by extremely low NOx emissions and, at the same time, high combustion efficiencies. Moreover, to further enhance the engine efficiency well above 40%, different Waste Heat Recovery (WHR) systems will be carefully scrutinized, including both Organic Rankine Cycle (ORC)-based recovery units as well as electric turbo-compounding. A Selective Catalytic Reduction (SCR) aftertreatment system will be developed to further reduce NOx emissions to near-zero levels. Finally, a dedicated torque-based control strategy for the ICE coupled with the Energy Management Systems (EMSs) of the hybrid powertrain, both optimized by exploiting Vehicle-To-Everything (V2X) connection, allows targeting H2 consumption of 0.1 kg/km. Technologies developed in the H2-ICE project will enhance the know-how necessary to design and build engines and aftertreatment systems for the efficient exploitation of H2 as a fuel, as well as for their integration into hybrid powertrains.

Hitting the Sweet Spot: How Glucose Metabolism Is Orchestrated in Space and Time by Phosphofructokinase-1.

Glycolysis is the central metabolic pathway across all kingdoms of life. Intensive research efforts have been devoted to understanding the tightly orchestrated processes of converting glucose into energy in health and disease. Our review highlights the advances in knowledge of how metabolic and gene networks are integrated through the precise spatiotemporal compartmentalization of rate-limiting enzymes. We provide an overview of technically innovative approaches that have been applied to study phosphofructokinase-1 (PFK1), which represents the fate-determining step of oxidative glucose metabolism. Specifically, we discuss fast-acting chemical biology and optogenetic tools that have delineated new links between metabolite fluxes and transcriptional reprogramming, which operate together to enact tissue-specific processes. Finally, we discuss how recent paradigm-shifting insights into the fundamental basis of glycolytic regulatory control have shed light on the mechanisms of tumorigenesis and could provide insight into new therapeutic vulnerabilities in cancer.

Surfing uncertainty with screams: predictive processing, error dynamics and horror films.

Despite tremendous efforts in psychology, neuroscience and media and cultural studies, it is still something of a mystery why humans are attracted to fictional content that is horrifying, disgusting or otherwise aversive. While the psychological benefits of horror films, stories, video games, etc. has recently been demonstrated empirically, current theories emphasizing the negative and positive consequences of this engagement often contradict one another. Here, we suggest the predictive processing framework may provide a unifying account of horror content engagement that provides clear and testable hypotheses, and explains why a 'sweet spot' of fear and fun exists in horror entertainment. This article is part of the theme issue 'Art, aesthetics and predictive processing: theoretical and empirical perspectives'.

Identifying the Sweet Spot of Padel Rackets with a Robot.

Although the vibration of rackets and the location of the sweet spot for players when hitting the ball is crucial, manufacturers do not specify this behavior precisely. This article analyses padel rackets, provides a solution to determine the sweet spot position (SSP), quantifies its behavior, and determines the level of vibration transmitted along the racket handle. The proposed methods serve to locate the SSP without quantifying it. This article demonstrates the development of equipment capable of analyzing the vibration behavior of padel rackets. To do so, it employs a robot that moves along the surface of the padel racket, striking it along its central line. Accelerometers are placed on a movable cradle where rackets are positioned and adjusted. A method for analyzing accelerometer signals to quantify vibration severity is proposed. The SSP and vibration behavior along the central line are determined and quantified. As a result of the study, 225 padel rackets are analyzed and compared. SSP is independent of the padel racket shape, balance, weight, moment of inertia, and padel racket shape (tear, diamond, or round) and is not located at the same position as the center of percussion.

First Report of Epicoccum nigrum Causing Brown Leaf Spot of Sweet Cherry (Prunus avium) in China

Sweet cherry (Prunus avium L.) has become an important economic fruit in China, mainly produced in Shandong Province. In recent years, the planting area of Aba Prefecture in Sichuan Province has increased. In June 2022, sweet cherry brown leaf spot was found in a cherry plantation (100ha) in Wenchuan County (30°54′50.21″N, 103°24′49.10″E), with an incidence of 50 - 70%. The symptoms appeared as brown circular spots on the leaf, gradually expanding until multiple lesions coalesced to form large irregular brown spots; eventually entire leaves were killed. To isolate the causal pathogens, 10 diseased trees were randomly selected from an orchard, one diseased leaf was taken from each tree, and samples (4×4 mm2) were cut from the border between diseased and healthy tissues of 10 diseased leaves, surface sterilized with 75% ethanol for 30 sec, washed three times with sterilized water, dried on sterilized filter paper and placed on potato dextrose agar (PDA). After 5d at 25℃, five morphologically similar colonies were obtained, colony appears yellow fluffy and released a large amount of red-orangepigment. Microscopy revealed circular to ovoid, verrucose, and multicellular conidia measuring 20×25 μm diameter (n = 30) were produced on the mycelia. The morphological characteristics were consistent with the description of Epicoccum nigrum (Lima et al 2011). To further identify the strains, the internal transcribed spacer (ITS), β-tubulin, and RNA polymerase second largest subunit (RPB2) gene regions were amplified with ITS1/ITS4 , Bt2a/Bt2b, and 5f2/7cr (White et al. 1990; Glass and Donaldson 1995; Sung et al. 2007), respectively. BLAST analysis revealed that the ITS, β-tubulin, and RPB2 sequences were 99.2%, 100% and 99.6% homologous, with those of E. nigrum (KU204750.1, OL782123.1, and MW602294.1), respectively. The sequences of the five isolates were identical; and those of representative strain TY3 were deposited in GenBank (ITS, OP410968; β-tubulin, OR502448; RPB2, OP484927). Maximum likelihood phylogenetic analyses were performed for the combined data set with ITS , β-tubulin and RPB2 using MEGA6 under the Tamura–Nei model (Tamura et al. 1993). Isolate TY3 clustered with E. nigrum type strain CBS 505.85. The pathogenicity of TY3 was tested on 10 sweet cherry trees aged 3 years (there were about 50 leaves per plant). Five plants were sprayed with 50 mL of spore suspension (1×105 spores/mL), while the controls (Five plants) were sprayed with 50 mL of sterile water. All plants were in closed plastic bags to maintain high humidity, placed in a greenhouse, and incubated at 25℃with a 12-h photoperiod. Twelve days after inoculation, 35% of the inoculated leaves showed lesions; that were consistent with those observed in the field, and the control group was asymptomatic. To confirm Koch´s postulates, two isolates were taken from the margins of leaf lesions and both were confirmed to be E. nigrum based on morphological observations and molecular identification using ITS β-tubulin, and RPB2 sequences. This is the first report of brown leaf spot caused by E. nigrum on P. avium in China. This discovery needs to be considered in developing and implementing disease management programs in sweet cherry production.

Play it safe or leave the comfort zone? Optimal content strategies for social media influencers on streaming video platforms

Social media influencers (SMIs) endeavor to attract, retain, and, more importantly, influence large audiences through creating videos on streaming video platforms (SVPs). Facing diverse audiences and intense competition, SMIs who differ in their skills and performance levels struggle with two challenging trade-offs in video production decision: (1) trade-off between reinforcement-seeking (i.e., reinforcing a specialized content style to play it safe) and variation-seeking (i.e., varying content style to leave the comfort zone), and (2) trade-off between early and late strategic action. This study explores the sweet spot of reinforcement- and variation-seeking by proposing a finite-horizon Markov Decision Process (MDP) model to maximize SMIs' influence on audiences on SVPs. Leveraging a series of musical videos produced by SMIs, our findings show that low-performing SMIs benefit more from variation-seeking than from reinforcement-seeking. By contrast, the influence of high-performing SMIs on audiences could be maximized by reinforcement- or variation-seeking, depending on the SMI type. High-performing SMIs' variation-seeking (should it be taken) is encouraged earlier than later over a planning horizon. This study contributes on on-demand content decision making and makes recommendations to SMIs and SVPs.

FINITE ELEMENT ANALYSIS FOR DYNAMIC RESPONSE OF VISCOELASTIC SANDWICHED STRUCTURES INTEGRATED WITH ALUMINUM SHEETS

Passive vibration attenuation of modern mechanical structures is one of the most essential technologies applied to the arsenal of modern mechanical structures. In this work, dynamics analysis is performed on viscoelastic (VE) sandwich beam and plate by using finite element method. The proposed structure is composed of a VE core and aluminum face sheets as substrate layers on both sides of the structure. Small-strain VE material is modeled based on complex constant moduli model and numerical method is used to develop the finite element (FE) shear model based on first-order shear deformation theory (FSDT) and Hamilton principle. In modal analysis, model-effective mass analysis is performed to investigate its dominant mode shape and sweet spot at resonance using C3D20 and CPS8 elements. The former is indicated as a 3-D element with 20 nodes while the latter is indicated as a 2-D plane strain element with eight nodes. In harmonic analysis, resonance frequency is obtained based on mode superposition method to evaluate the steady-state response of VE sandwich beam via maximum deformation. Thereafter, the results are compared against analytical solutions from the literature. Moreover, a parametric study shows that the natural frequency of the beam did not change with the increase in core thickness. However, normalized loss factor of VE sandwich beam is directly proportional to VE damping factor and the thickness of VE core layer. Based on frequency response function, the results of resonance frequencies for VE beam are in the range of modal natural frequency.

Identification, characterization, and up-scaling of pore structure facies in the low permeability reservoirs: Insight into reservoir quality evaluation and sweet-spots analysis

The traditional pore structure classification scheme separates the qualitative pore origin classification from the quantitative pore structure parameter classification. This separation prevents a comprehensive understanding and evaluation of the pore structure and characteristics of multi-scale reservoirs. To overcome this limitation, we propose a new pore classification scheme that combines the “geological origin and structure parameters” of pore systems, introducing the term “pore structure facies” (PSF). By considering the genetic types of pores, the pore structure can be qualitatively divided into several categories, each representing different pore genesis. Within each category, the pore structure is further subdivided into subcategories based on pore structure parameters. To validate the effectiveness of the PSF scheme, we focus on the low permeability reservoirs of the Weixinan Depression in the Beibuwan Basin of the South China Sea. We identify and characterize PSF types using a multi-scale approach, including thin section, porosity-permeability, digital image analysis, mercury intrusion test, micro-CT imaging, and simulation. The results reveal that the study area can be classified into three main categories and six subcategories: intergranular homogeneous type (macroporous, mesoporous, and microporous), heterogeneous dissolution-pore type (moderate and strong dissolution), and cementation-induced few-pore type. Significant differences are observed in the two-dimensional and three-dimensional pore structure, petrophysical properties, and pore-scale flow of PSF, leading to significant variations in logging responses. Moreover, we successfully predict and verify the PSF profile using artificial neural network algorithms and field test data. The predicted PSF profile exhibits substantial differences in productivity, with the combination of PSF types serving as an indicator of productivity. We compare the quality of multi-scale reservoirs in the study area using the “point (single well) line (inter-well profile) plane (reservoir)" method based on PSF. Finally, to quantitatively characterize reservoir quality, we propose the Reservoir Sweet-spot Index (RSI), considering the reservoir thickness. By using the boundary of sedimentary facies, we generate a map of sweet-spots reservoirs that provides guidance for future energy exploration and development. The analytical scale of PSF and RSI can be flexibly adjusted, from the heterogeneity within the sand body to the distribution characteristics of a reservoir plane, offering valuable insights into reservoir quality estimation at different scales.

Characteristics and genesis of tuffaceous shale oil lithofacies:A case study of Lucaogou Formation in Santanghu Basin

Lucaogou Formation in the Santanghu Basin is a special lacustrine fine-grained sedimentary deposits rich in volcanic debris and carbonate, with abundant shale oil resources. However, understanding of shale oil characteristics and genesis remains unclear. Lithofacies, sedimentary environment, and formation mechanisms of tuffaceous shale oil are investigated based on core and thin section observations, X-ray diffraction, field emission SEM and geochemical analysis. Results show that three mixed lithofacies types are developed in Lucaogou Formation: blocky tuff, laminated tuffaceous dolomite, and laminated dolomitic tuff. These lithofacies types are characterized by high content of felsic and dolostone, widespread organic matter, and low clay content. Formation of tuffaceous shale oil sweet spots is primarily influenced by four factors: inputting of volcanic ash as a high-quality source rocks and reservoirs provides good material basis; devitrification of volcanic glass, calcitization, and dissolution are crucial for formation of reservoirs; expulsion of source rocks with high-abundance organic matter expulsion facilitates migration and accumulation of hydrocarbon in adjacent reservoirs; fracture development improves reservoir permeability to form highly productive sweet spots. By analyzing characteristics and genesis of tuffaceous shale oil, the main controlling factors of reservoir physical property and oil saturation are clarified, which is of great significance for selection of shale oil exploration zones.

Advanced Fanout Embedded Bridge Packaging Technology for Chiplets Integration

The increasing amount of data from all sectors driven by digital transformation is raising a problem of operational and storing cost of the data. Meanwhile, the exponential cost leaps of silicon scaling, the unfordable increasing of Si die size over reticle limit and unsustainable computer energy exceeding the world’s energy production have created an inflection point for semiconductor industry. It has driven the development of More-Than-Moore to augment increased device and system performance. Chiplets integration provides more flexible mix-and-match systems to accelerate performance and power efficiency. It is driving the development of advanced packaging technology to enable heterogeneous chiplets integration with separate designs and different manufacturing process nodes within a single package for yield improvement, IP reuse, performance and cost optimization, as well time to market reduction. Several advanced packaging technologies have been developed and used widely to integrate multi-chips with fine line/space interconnections, such as 2.5D Si TSV interposer, Fanout RDL (re-distribution layer) and EMIB (Embedded Multi-die Interconnect Bridge). Different packaging technologies have different sweet spots to fulfill various applications depending on the device design and performance requirements. In ASE, we have developed and introduced FOCoS (FanOut Chip on Substrate) chip first (FOCoS-CF) and FOCoS chip last (FOCoS-CL) technologies by using RDL interconnect for chiplets integration. However, due to the inherent fanout RDL process limitation, it has hit the bottleneck to manufacture RDL with higher layer counts (> 6 layers) and finer Line/Space (L/S < 1um/1um) for the applications that require high density die to die connections, high input/output (I/O) counts and high-speed signal transmitting. In this paper, a new FOCoS technology named as FOCoS embedded Si bridge (FOCoS-B) has been developed for high density die to die interconnect with RDL L/S < 1um/1um chipets integration for HPC application. The FOCoS-B packaging technology enables the USR (Ultra Short Reach) interconnection between die to die by embedded a small Si die in fanout RDL interposer. The small Si die play an interconnection bridge role between chiplets with L/S 0.8um/0.8um. Two FOCoS-B test vehicles (TVs) will be introduced in this study. One TV named as TV-1 is integrated by two chiplets of 1 ASIC die and 1 HBM2e with 1 Si bridge die to form a fanout module, which it is subsequently assembled on a FCBGA package with body size of 40x30mm2. Another TV listed as TV-2 is composed of two identical fanout modules, which are assembled on one FCBGA substrate with body size of 78x70mm2 in MCM (multi-chip-module) arrangement. The fanout module for TV-2 is integrated by 1 ASIC and 4 HBM2e with 4 bridge dies. TV-2 will have total 10 chiplets (2 ASICs and 8 HBM2e with 8 Si bridge dies). The process flow for FOCoS-B will be illuminated. The process DOE and the impact on warpage will be discussed. Furthermore, the reliability validations on two TVs will also be demonstrated. Finally, the comparison on warpage among different FOCoS solutions (FOCoS-B, FOCoS-CL and FOCoS-CL) for chiplets integration have been presented. The results indicated that the material selections and property compatibilities among the multi-layer stacked structures (Si die, RDL, Molding compounds, Underfill) play critical roles in warpage control in FOCoS-B processes. The package warpage of FOCoS-B and FOCoS-CL has showed similar behaviors. FOCoS-CF showed slightly high package warpage than that of FOCoS-B. The results also revealed that FOCoS-B has provided a wide choice and flexibility for multi bridge dies integration successfully for HPC application.

Depositional and diagenetic controls on reservoir properties of the lower Cambrian Khewra Sandstone, eastern salt range, Sub-Himalaya, Pakistan

This study aims to determine the interdependence of deposition, tectonics and diagenesis in a prolific hydrocarbon reservoir. This has been achieved through an integrated field study, petrography, scanning electron microscope (SEM), zircon microscopy and X-ray diffraction (XRD) in the fluvio-deltaic sandstone of the Lower Cambrian Khewra Sandstone. Sandstones are subarkose, sublitharenite and feldspathic litharenite subjecting to compaction, cementation, dissolution and replacement. The pore types are intergranular, vuggy, and fractures. The paragenetic sequence suggests a multistage diagenetic history for the sandstone under eogenetic, mesogenetic and telogenetic regimes. The telogenetic alterations are triggered by Himalayan orogeny. Both deposition and tectonics control the spatial and temporal distribution of diagenetic facies and sweet spots. The bounding unconformities and variation of compositional and textural patterns determine the reservoir quality. The dynamic interaction among deposition, tectonics and diagenesis yields a comprehensive understanding of reservoir potential on a global scale.

Shale primary porosimetry based on 2D nuclear magnetic resonance of T1-T2

Porosity, a key parameter in assessing the physical properties of shale reservoirs and the reserves, is of great significance to the selection and evaluation of shale sweet spots. There are many methods at present to characterize shale porosity, most of which are aimed at post-core cleaning shale, such as those involving helium and saturated fluid (namely liquid-involved porosimetry). However, due to the low efficiency of shale core cleaning and the possible damage to pore structure during the core cleaning process, it's hard to guarantee the accuracy of porosity measurement. In this regard, we resort to the two-dimensional (2D) nuclear magnetic resonance (NMR) technology of T1-T2 in characterizing the primary shale porosity with samples taken from pressure coring in the 4th member of Shahejie Formation (Sha 4 Member) in well Fanxie 184 in the Jiyang Depression. Moreover, comparative experiments of shale porosity measurement by three methods, namely the simultaneous distillation extraction (SDE), helium and fluid measurement, are carried out simultaneously. The results show that the values obtained by SDE, gas and liquid measurement are similar, which are about 0.6 times of 2D NMR porosimetry. Core cleaning efficiency tends to seriously affect the results involving gas and liquid. In addition, the core cleaning treatment is bound to change the shale pore structure, and this is especially true in clay which tends to swell; consequently, porosity results are to be distorted by gas and liquid methods. It is thereby recommended to utilize the 2D NMR technology to characterize the primary total porosity of shale samples without core cleaning. The effective porosity of samples from pressure coring is determined by T2 cutoff value of around 0.3 ms.

RETRACTION: UK’s sugar tax hits the sweet spot

RETRACTION: UK’s sugar tax hits the sweet spot

Key geological factors governing sweet spots in the Wufeng-Longmaxi shales of the Sichuan Basin, China

Production performance of the Wufeng-Longmaxi shales varies significantly among Fuling, Weirong, and Wulong fields in the Sichuan Basin. Total organic carbon (TOC) content, mineralogy, and organic matter (OM) pore characteristics are investigated to identify key factors governing sweet spots. Siliceous shales with good preservation conditions in the Fuling Field exhibit large thickness, high TOC content and thin-section porosity (TSP), and well-developed OM macropores, thus high initial production and estimated ultimate recovery (EUR). Thin carbonate-containing siliceous shales with good preservation conditions in the Weirong Field feature medium-to-high TOC and well-developed OM macropores but low TSP, leading to high initial production but low EUR. Siliceous shales with poor preservation conditions in the Wulong Field are characterized by large thickness, high TOC, low TSP and poorly-developed OM macropores, causing low initial production and EUR.Both sedimentary and preservation conditions are intrinsic decisive factors of sweet spots, as they control the mineral composition, TOC, and OM macropore development. Deep-water shales in transgressive systems tracts (TSTs) exhibit better-developed OM macropores and greater TOC compared to highstand systems tracts (HSTs). OM macropores are most prevalent in siliceous shales, followed by carbonate-containing siliceous shales and then argillaceous shales. Furthermore, good preservation conditions are conducive to retain OM macropores with low pore aspect ratio (PAR). Comparison among the three fields shows that high-TOC silicious shales with good preservation conditions are the highest in TSP and EUR. Therefore, organic richness, lithofacies, and preservation conditions are the major factors which determine OM pore development, governing the sweet spots of the Wufeng-Longmaxi shales.

Analysis and systematization of ideas about the influence of geological and geochemical factors on the formation and oil and gas content of megareservoirs of sedimentary basins

The influence of geological and geochemical factors on the properties of oils saturating combined traps in various oil and gas basins is analyzed. A way is developed for predicting the properties of fluids (physicochemical, hydrocarbon and trace element compositions), as well as the phase state of accumulations in traps of various structures in connection with the vertical scale of oil and gas formation. The evaluation of the search criteria for their identification, analysis and systematization of ideas about the influence of various geological and geochemical factors on the formation and oil and gas content of megareservoirs is carried out. Of great importance is the possibility of assessing the productivity of shale formations and the selection of “sweet spots” by geochemical methods.

Control of strike-slip faults on Sinian carbonate reservoirs in Anyue gas field, Sichuan Basin, SW China

The largest Precambrian gas field (Anyue gas field) in China has been discovered in the central Sichuan Basin. However, the deep ancient Ediacaran (Sinian) dolomite presents a substantial challenge due to their tightness and heterogeneity, rather than assumed large-area stratified reservoirs controlled by mound-shoal microfacies. This complicates the characterization of “sweet spot” reservoirs crucial for efficient gas exploitation. By analyzing compiled geological, geophysical and production data, this study investigates the impact of strike-slip fault on the development and distribution of high-quality “sweet spot” (fractured-vuggy) reservoirs in the Ediacaran dolomite of the Anyue gas field. The dolomite matrix reservoir exhibits low porosity (less than 4%) and low permeability (less than 0.5×10−3 μm2). Contrarily, fractures and their dissolution processes along strike-slip fault zone significantly enhance matrix permeability by more than one order of magnitude and matrix porosity by more than one time. Widespread “sweet spot” fracture-vuggy reservoirs are found along the strike-slip fault zone, formed at the end of the Ediacaran. These fractured reservoirs are controlled by the coupling mechanisms of sedimentary microfacies, fracturing and karstification. Karstification prevails at the platform margin, while both fracturing and karstification control high-quality reservoirs in the intraplatform, resulting in reservoir diversity in terms of scale, assemblage and type. The architecture of the strike-slip fault zone governed the differential distribution of fracture zones and the fault-controlled “sweet spot” reservoirs, leading to wide fractured-vuggy reservoirs across the strike-slip fault zone. In conclusion, the intracratonic weak strike-slip fault can play a crucial role in improving tight carbonate reservoir, and the strike-slip fault-related “sweet spot” reservoir emerges as a unique and promising target for the efficient development of deep hydrocarbon resources. Tailored development strategies need to be implemented for these reservoirs, considering the diverse and differential impacts exerted by strike-slip faults on the reservoirs.

Deep brain stimulation for Tourette syndrome: modulation of the limbic-motor interface network.

Deep brain stimulation (DBS) is an effective treatment for medically refractory Tourette syndrome (TS). Several effective targets have been reported, but there is still controversy about the networks involved in the efficacy of DBS for TS. Here, the authors aimed to identify the basal ganglia-thalamo-cortical networks associated with tic and obsessive-compulsive behavior (OCB) improvement and the network link between the two main targets for TS. A retrospective analysis of 21 patients treated with pallidal and thalamic DBS was performed. Tics and OCB scores were recorded before and after DBS. The authors localized the electrodes in standard MNI (Montreal Neurological Institute) space and calculated the volume of tissue activated with the settings at the last follow-up to obtain areas of maximal improvement ("sweet spots") among all patients for the pallidal and thalamic targets. Tractography was used to show the white matter pathways associated with maximal tic and OCB improvement. Ten patients treated with pallidal DBS and 11 patients treated with thalamic DBS were included. Responder rates were 80% in the pallidal and 64% in the thalamic target groups. Sweet spots for tics and OCB clustered in several areas across the basal ganglia and thalamus delineated two main networks. Tic reduction in the pallidal target mapped to a limbic pallidothalamic network and in the thalamic target to the premotor thalamocortical network. Putting these two networks together will form the main output of the so-called limbic-motor interface network. However, OCB reduction mapped a dorsomedial prefrontal cortex/dorsal anterior cingulate (dmPFC/dACC) network. The authors demonstrated the involvement of the limbic-motor interface network during effective DBS for tics in patients with TS. OCB redution was associated with the additional involvement of dmPFC/dACC connections passing dorsal to the head of the globus pallidus pars externa on its way to the thalamus and midbrain.

Progress in and research direction of key technologies for normal-pressure shale gas exploration and development

Normal-pressure shale gas is an important object of shale gas reserves and production increase with broad resource prospects in China, but its large-scale benefit development is still confronted with technical bottlenecks. To promote the large-scale benefit development of normal-pressure shale gas, this paper systematically sorts out and summarizes the research achievements and technological progresses related to normal-pressure shale gas from the aspects of accumulation mechanism, enrichment theory, percolation mechanism, development technology, and low-cost engineering technology, and points out the difficulties and challenges to the benefit development of normal-pressure shale gas in the complex structure zones of southern China, by taking the shale gas in the Southeast Chongqing Area of the Sichuan Basin as the research object. In addition, the research direction of normal-pressure shale gas exploration and development is discussed in terms of sweet spot selection, development technology policy, low-cost drilling technology and high-efficiency fracturing technology. And the following research results are obtained. First, the accumulation mechanism of normal-pressure shale gas is clarified from the perspective of geological exploration theory; the hydrocarbon accumulation model of generation, expulsion, retention and accumulation is established; the enrichment theory of “three-factor controlling reservoir” is put forward; and the comprehensive sweetspot target evaluation system is formed. Second, as for development technology, the development technology policies of “multiple series of strata, variable well spacing, long horizontal section, small included angle, low elevation difference, strong stimulation and pressure difference controlling” are formulated. Third, as for drilling engineering, the optimal fast drilling and completion technology with “secondary structure + radical parameter + integrated guidance + unpressured leak-proof cementing” as the core is formed. Fourth, as for fracturing engineering, the low-cost and high-efficiency fracturing technology with “multi-cluster small-stage + limited-entry perforating + double temporary blocking + high-intensity sand injection + fully electric” as the core is formed. Fifth, normal-pressure shale gas is characterized by complex geological conditions, low pressure coefficient and gas content, poor resource endowment and so on, but its resource utilization still faces a series of challenges, such as uncertain productivity construction positions, low single-well productivity and ultimate recoverable reserve, high investment cost and poor economic benefit. In conclusion, the key research directions to realize the large-scale benefit development of low-grade normal-pressure shale gas are to deepen the research on the enrichment and high yield mechanism and sweet spot selection of normal-pressure shale gas, strengthen the research on the benefit development technology policy based on percolation mechanism and the key technologies for low-cost drilling, accelerate the research and development of the key technologies for low-cost and high-efficiency fracturing, and implement cost reduction and efficiency improvement continuously.