Personal use is permitted, but republication/redistribution requires IEEE permission. Abstract -- The impact of repetitive transcranial magnetic stimulation (rTMS) on methamphetamine (METH) users' craving levels is often assessed using questionnaires. This study explores the feasibility of using neural signals to obtain more objective results. EEG signals recorded from 20 METH -addicted participants Before and After rTMS (MBT and MAT) and from 20 healthy participants (HC) are analyzed. In each EEG paradigm, participants are shown 15 METH - related and 15 neutral pictures randomly, and the relative band power (RBP) of each EEG sub -band frequency is derived. The average RBP across all 31 channels, as well as individual brain regions, is analyzed. Statistically, MAT's alpha, beta, and gamma RBPs are more like those of HC compared to MBT, as indicated by the power topographies. Utilizing a random forest (RF), the gamma RBP is identified as the optimal frequency band for distinguishing between MBT and HC with a 90% accuracy. The performance of classifying MAT versus HC is lower than that of MBT versus HC, suggesting that the efficacy of rTMS can be validated using RF with gam ma RBP. Furthermore, the gamma RBP recorded by the TP10 and CP2 channels dominates the classification task of MBT versus HC when receiving METH-related image cues. The gamma RBP during exposure to METH -related cues can serve as a biomarker for distinguishi ng between MBT and HC and for evaluating the effectiveness of rTMS. Therefore, real -time monitoring of gamma RBP variations holds promise as a parameter for implementing a customized closed -loop neuromodulation system for treating METH addiction. Introduction DDICTION is defined as an overwhelming urge to use a particular substance or engage in a specific behavior, often leading to harmful consequences. Addiction to one such substance, methamphetamine (METH), is termed as methamphetamine use disorder or dependence (MUD); this has been listed as a serious public health concern [1] . METH is a highly addictive synthetic central nervous system stimulant. METH users experience positive feelings such as euphoria, increased self -confidence, and heightened energy levels in the short-term following use. This study was supported by Westlake University, Zhejiang Key R&D Program ( Grant No. 2021C03002) and "Pioneer" and "Leading Goose" R&D Program of Zhejiang (Grant No. 2024C03040). Z. Zeng and Y.- H. Chen contributed equally and are the co-first authors. There is currently no approved pharmacotherapy treatment available for MUD [4]; however, behavioral interv entions have proved effective [5] . One commo n type of behavioral intervention for MUD is abstinence-based treatment in rehabilitation centers, but relapse rates among MUD individuals remain substantial. A study examining youth using ketamine and METH suggests that METH users are more prone to relaps e than those in the ketamine group [6] .

Future high-luminosity hadron colliders demand tracking detectors with extreme radiation tolerance, high spatial precision, and sub-nanosecond timing. 3D diamond pixel sensors offer these capabilities due to diamond's radiation hardness and high carrier mobility. Conductive electrodes, produced via femtosecond IR laser pulses, exhibit high resistivity that delays signal propagation. This effect necessitates extending the classical Ramo-Shockley weighting potential formalism. We model the phenomenon through a 3rd-order, 3+1D PDE derived as a quasi-stationary approximation of Maxwell's equations. The PDE is solved numerically and coupled with charge transport simulations for realistic 3D sensor geometries. A Mixture-of-Experts Physics-Informed Neural Network, trained on Spectral Method data, provides a meshless solver to assess timing degradation from electrode resistance.

The beds are full at the National Centre for the Rehabilitation of Addicts (NCRA), one of only two public addiction rehabilitation facilities in Jordan. In the midst of the busy centre, Ahmad*, 34, takes a breath in the facility's garden. The young man is on his eighth day of treatment for addiction to crystal methamphetamine. Cases of crystal meth abuse are rising throughout Jordan – according to doctors and scientists, the drug is even more addictive and dangerous than the now widely-available and also highly-addictive amphetamine, captagon. "On crystal [meth], I felt I was a different person," he told Al Jazeera, glancing down at the tattoo sleeves that envelop his arms, his brothers' names inscribed around each bicep.

The linear response of a photomultiplier tube (PMT) is a required property for photon counting and reconstruction of the neutrino energy. The linearity valid region and the saturation response of PMT were investigated using a linear-alkyl-benzene (LAB)-based liquid scintillator. A correlation was observed between the two different saturation responses, with pulse-shape distortion and pulse-area decrease. The observed pulse-shape provides useful information for the estimation of the linearity region relative to the pulse-area. This correlation-based diagnosis allows an ${in}$-${situ}$ estimation of the linearity range, which was previously challenging. The measured correlation between the two saturation responses was employed to train an artificial-neural-network (ANN) to predict the decrease in pulse-area from the observed pulse-shape. The ANN-predicted pulse-area decrease enables the prediction of the ideal number of photoelectrons irrelevant to the saturation behavior. This pulse-shape-based machine learning technique offers a novel method for restoring the saturation response of PMTs.

You are in a black sedan parked in a dimly-lit alley at night. In the passenger seat a female, dressed in white top and jeans, asks if you want to share some meth. She lights up and smoke fills the interior. The scenario may sound real enough but it is an immersive virtual reality (VR) experience designed to determine how prone the participant is to drug use by tracking their pulse, brainwaves and the electrical conductance of the skin. Using artificial intelligence that combines the responsive patterns from over 10,000 addiction cases, the system generates a drug craving score, according to Li Dai, founder and chief executive of Beijing-based start-up WonderLab, developer of the technology. The company is working with rehabilitation centers in more than 10 Chinese provinces and municipalities including Shandong, Sichuan, Yunnan, Beijing and Chongqing, to apply the AI-enabled assessment as a follow-up to addiction treatment.

In 2018, ice is everywhere. You can make it yourself by putting a tray of water into the freezer. Or you can find one of those special fridges with an in-unit ice machine and wait for the cold stuff to simply plop out into your cup. But ice used to be much, much harder to get your hands on--and in the era before A/C, it was desperately desired. That's why, for much of the 19th century and into the 20th, ice was the cold, hard heart of an international economy called the "frozen water trade."

Altered Carbon, a maximalist cyberpunk series arriving on Netflix this Friday, is the story of Takeshi Kovacs, a half-Japanese, half-Slavic fighting machine who, after being unconscious for 250 years--more on the logistics shortly--is revived in the body of a white cop. This is a particularly complicated version of whitewashing, the Hollywood habit of casting white actors in historically nonwhite roles, insofar as Altered Carbon is based on a novel by Richard K. Morgan, in which an Asian man is stuck in the body of a white man and not happy about it. "I stared into a fragmented mirror at the face I was wearing as if it had committed a crime against me," Kovacs says in the book, after seeing his new visage for the first time. Altered Carbon is not Ghost in the Shell, the boondoggle of a film in which a (cybernetic) Asian character was played by Scarlett Johansson. In flashbacks, Kovacs is played by the Asian actor Will Yun Lee, and in future seasons the character may be played by a nonwhite actor.

When deciding to buy a used copy of a game, your focus is usually on the disc and if there are any visible scratches. It seems employees at GameStop are also completely focused on the disc as they keep missing bags of meth left in the case by previous owners. For the second time, a used game purchased at GameStop contained a bag of meth discovered by a child. The first incident occurred in September last year when an 11-year-old purchased a used game from a Louisiana GameStop with a "baggie of drugs" discovered inside. Police identified the substance in the bag as meth.