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BACKGROUND: Mechanical thrombectomy (MT) has revolutionized the treatment of acute ischemic stroke (AIS) due to large vessel occlusion (LVO), but its efficacy and safety in medium vessel occlusion (MeVO) remain less explored. This multicenter, retrospective study aims to investigate the incidence and clinical outcomes of vessel perforations (confirmed by extravasation during an angiographic series) during MT for AIS caused by MeVO. METHODS: Data were collected from 37 academic centers across North America, Asia, and Europe between September 2017 and July 2021. A total of 1373 AIS patients with MeVO underwent MT. Baseline characteristics, procedural details, and clinical outcomes were analyzed. RESULTS: The incidence of vessel perforation was 4.8% (66/1373). Notably, our analysis indicates variations in perforation rates across different arterial segments: 8.9% in M3 segments, 4.3% in M2 segments, and 8.3% in A2 segments (p = 0.612). Patients with perforation had significantly worse outcomes, with lower rates of favorable angiographic outcomes (TICI 2c-3: 23% vs 58.9%, p

Purpose: To shorten CEST acquisition time by leveraging Z‐spectrum undersampling combined with deep learning for CEST map construction from undersampled Z‐spectra. Methods: Fisher information gain analysis identified optimal frequency offsets (termed "Fisher offsets") for the multi‐pool fitting model, maximizing information gain for the amplitude and the FWHM parameters. These offsets guided initial subsampling levels. A U‐NET, trained on undersampled brain CEST images from 18 volunteers, produced CEST maps at 3 T with varied undersampling levels. Feasibility was first tested using retrospective undersampling at three levels, followed by prospective in vivo undersampling (15 of 53 offsets), reducing scan time significantly. Additionally, glioblastoma grade IV pathology was simulated to evaluate network performance in patient‐like cases. Results: Traditional multi‐pool models failed to quantify CEST maps from undersampled images (structural similarity index [SSIM] <0.2, peak SNR <20, Pearson r <0.1). Conversely, U‐NET fitting successfully addressed undersampled data challenges. The study suggests CEST scan time reduction is feasible by undersampling 15, 25, or 35 of 53 Z‐spectrum offsets. Prospective undersampling cut scan time by 3.5 times, with a maximum mean squared error of 4.4e–4, r = 0.82, and SSIM = 0.84, compared to the ground truth. The network also reliably predicted CEST values for simulated glioblastoma pathology. Conclusion: The U‐NET architecture effectively quantifies CEST maps from undersampled Z‐spectra at various undersampling levels. [ABSTRACT FROM AUTHOR]

Human behavior can be remarkably shaped by experience, such as the removal of sensory input. Many studies of conditions such as stroke, limb amputation, and vision loss have examined how removal of input changes brain function. However, an important question yet to be answered is: when input is lost, does the brain change its connectivity to preferentially use some remaining inputs over others? In individuals with healthy vision, the central portion of the retina is preferentially used for everyday visual tasks, due to its ability to discriminate fine details. When central vision is lost in conditions like macular degeneration, peripheral vision must be relied upon for those everyday tasks, with some portions receiving "preferential" usage over others. Using resting‐state fMRI collected during total darkness, we examined how deprivation and preferential usage influence the intrinsic functional connectivity of sensory cortex by studying individuals with selective vision loss due to late stages of macular degeneration. Specifically, we examined functional connectivity between category‐selective visual areas and the cortical representation of three areas of the retina: the lesioned area, a preferentially used region of the intact retina, and a non‐preferentially used region. We found that cortical regions representing spared portions of the peripheral retina, regardless of whether they are preferentially used, exhibit plasticity of intrinsic functional connectivity in macular degeneration. Cortical representations of spared peripheral retinal locations showed stronger connectivity to MT, a region involved in processing motion. These results suggest that the long‐term loss of central vision can produce widespread effects throughout spared representations in early visual cortex, regardless of whether those representations are preferentially used. These findings support the idea that connections to visual cortex maintain the capacity for change well after critical periods of visual development. [ABSTRACT FROM AUTHOR]

Zinc is an important trace element involved in the biochemical and physiological functions of the organism and is essential in the human body. It has been reported that 17.3% of people around the world are at risk of many diseases due to zinc deficiency, which has already affected people's healthy lives. Currently, mild zinc deficiency is difficult to diagnose early due to the lack of typical clinical manifestations, so finding zinc biomarkers is crucial for people's health. The present article reviews the main representative zinc biomarkers, such as body fluid zinc levels, zinc-dependent proteins, tissue zinc, and zinc-containing enzymes, to provide a reference for actively promoting the study of zinc nutritional status and early clinical diagnosis. [ABSTRACT FROM AUTHOR]

Abstract KIF18B is a key member of the kinesin-8 family, involved in regulating various physiological processes such as microtubule length, spindle assembly, and chromosome alignment. This article briefly introduces the structure and physiological functions of KIF18B, examines its role in malignant tumors, and the associated carcinogenic signaling pathways such as PI3K/AKT, Wnt/β-catenin, and mTOR pathways. Research indicates that the upregulation of KIF18B enhances tumor malignancy and resistance to radiotherapy and chemotherapy. KIF18B could become a new target for anticancer drugs, offering significant potential for the treatment of malignant tumors and reducing chemotherapy resistance.

Background Preterm birth contributes to adverse mental health outcomes of parents dealing with a premature neonate. The main objec-tive of this study is to determine whether music therapy (MT) songwriting during the infants’ stay in the neonatal intensive care unit (NICU) is superior to standard care in reducing the risk of postpartum depression in high-risk parents of preterm children throughout the hospital treatment. The secondary objectives include assessment of effectiveness of MT in other aspects of mental health (anxiety level, perceived stress, mental wellbeing, coping, resilience). Furthermore, this trial will evaluate the medical and social factors that may be associated with the effects of MT songwriting. Participants and procedure The study design is a sequential mixed method study with a dominant status QUAN to qual. The quantitative trial was designed as a parallel, multicenter, pragmatic, randomized controlled trial. The qualitative study is a descriptive phenomeno-logical study that seeks to understand the lived experiences of participants exposed to songwriting. Participants are parents of premature infants hospitalized in NICU (106 families) in 5 hospitals, in Colombia and Poland. Intervention: 3 MT song-writing sessions per week across 3 weeks. Primary outcome: the risk of postnatal depression; secondary outcomes: anxiety level, mental wellbeing, resilience, stress, coping. Results The results will be analyzed quantitatively and qualitatively. Conclusions This study will provide a report on the effectiveness of MT songwriting on mental health in at-risk parents of preterm infants.

Crop yield forecasting is becoming more essential in the present environment, when food security must be maintained despite climate, population, and climate change concerns. Machine learning is a useful decision-making tool for predicting agricultural yields, as well as for deciding what crops to plant and what to do throughout the crop's growth season. To aid agricultural production prediction studies, a number of machine learning methods have been used. Wheat is a significant food source in India, particularly in the north. The wheat crop is categorised using deep learning techniques in the proposed research. The suggested system uses deep learning CNN, RNN, and LSTM applications to classify wheat crops. The results showed that the test accuracy ranged from 85 % to 95.68 % for varietal level classification. Hence, the proposed approach results are accurate and reliable, encouraging the deployment of such an approach in practice. [ABSTRACT FROM AUTHOR]

The toxic effect and differences of Cr(VI) on superoxide dismutase (SOD) activity, MDA, and metallothionein (MT) content in the hepatopancreas and gill of Portunus trituberculatus were investigated during Cr(VI) enrichment (15 days) and release experiments (15 days). Results showed that the 1.50 and 0.30 mg/L test groups significantly exhibited higher SOD, MDA, and MT content in the hepatopancreas and gill compared with the control group after 15 days of enrichment (p < 0.05). After 15 days of Cr release, the SOD, MDA, and MT content in the hepatopancreas and gill of both test groups recovered to the normal level of the control group (p > 0.05). The gill of P. trituberculatus achieved the highest SOD activity, MDA, and MT content earlier than the hepatopancreas, but the highest values were lower. The gill showed a shorter recovery time than the hepatopancreas. We concluded that the gill of P. trituberculatus exhibited a more rapid response to, and recovery from, Cr(VI) exposure compared to the hepatopancreas, making it a more sensitive tissue for assessing Cr(VI) toxicity, though both tissues showed a capacity for recovery after the removal of the contaminant. [ABSTRACT FROM AUTHOR]

In order to optimize the parameters for reversing masculinization and establish the techniques for sex induction of pseudo-males and creation of all-female fry in largemouth bass (Micropterus salmodies, LMB), 15-day-old LMB (1.00 ± 0.10 cm in length, 0.10 ± 0.01 g in weight) were fed a diet supplemented with either 17a-methyltestosterone (MT) or letrozole (LE) and their combination. The experimental groups were M20 (20 mg/kg MT), L20 (20 mg/kg LE) and M10L10 (10 mg/kg MT and 10 mg/kg LE). The control group, named C, was not feed MT or LE. After 60 days, exogenous hormone in the diets was stopped and the effects of MT and LE on growth, male ratio, and gonadal development in LMB were evaluated. At 12-month-old, blood and gonadal tissue samples were collected to measure sex steroid hormones levels, analyze expression levels of dmrt1 and cyp19a1a genes, as well as examine the gonads morphology. The results showed no significant differences in growth between the experimental groups and the control group after a 60-day feeding period with the formulated diet (p > 0.05). The sex reversal ratio of M20, L20, M10L10 were 95.00%, 80.00%, 76.47%, respectively. The gonadal tissue sections showed that the gonadal structure of masculinized fish morphologic resembled that of control male fish. At 12-month-old, the sex reversal ratio in M20, L20, M10L10 and C groups were 100%, 86.67%, 73.33% and 50.00%, respectively. The testicular of pseudo-male fish in the M20 group exhibited well-developed morphology similarities to that of the control group males. However, the testes of pseudomale fish in the L20 and M10L10 groups were smaller size Estradiol (E2) levels in the experimental groups was significantly lower than those in the control group females (p < 0.05), while testosterone (T) levels were significantly higher than that of the control group (p < 0.05). Compared to the female fish in the control group, pseudo-male fish from all experimental groups showed significantly upregulated expression of dmrt1 (p < 0.05), and significantly downregulated expression of cyp19a1a (p < 0.05). Pseudo-males selected from group M20 exhibited a significantly higher proportion of female offspring (92.00%) compared to the control group (46.50%). In summary, 20 mg/kg MT was the optimal inducing concentration. [ABSTRACT FROM AUTHOR]

KIF18B is a key member of the kinesin-8 family, involved in regulating various physiological processes such as microtubule length, spindle assembly, and chromosome alignment. This article briefly introduces the structure and physiological functions of KIF18B, examines its role in malignant tumors, and the associated carcinogenic signaling pathways such as PI3K/AKT, Wnt/β-catenin, and mTOR pathways. Research indicates that the upregulation of KIF18B enhances tumor malignancy and resistance to radiotherapy and chemotherapy. KIF18B could become a new target for anticancer drugs, offering significant potential for the treatment of malignant tumors and reducing chemotherapy resistance. [ABSTRACT FROM AUTHOR]

Objective: To study the correlation between serum C-reactive protein (CRP), melatonin (MT), insulin-like growth factor-1 (IGF-1) and oxidative stress indexes and cognitive function in patients with first-episode untreated schizophrenia (SP). Methods: 140 patients with first-episode untreated SP who were treated in Xuzhou Oriental Hospital Affiliated to Xuzhou Medical University from January 2021 to June 2023 were selected as observation group, the patients were divided into high score group (≥70 points) with 57 cases and low score group (<70 points) with 83 cases according to the positive and negative symptom scale (PANSS) score. Another 140 volunteers who received physical examination in our hospital during the same period were selected as control group. Serum oxidative stress indexes, CRP, MT and IGF-1 levels were detected, and patients' cognitive dysfunction was evaluated by MATRICS cognitive assessment system (MCCB) score. The correlation between serum CRP, MT, IGF-1 and PANSS score, serum oxidative stress index, MCCB score and total score was analyzed. Results: Serum CRP in observation group was higher than that in control group, and MT and IGF-1 were lower than those in control group (P<0.05). The serum CRP in high score group was higher than that in low score group, and the MT and IGF-1 were lower than those in low score group (P<0.05). Serum SOD and GSH-Px in high score group were lower than those in low score group, while NO was higher than that in low score group (P<0.05). The MCCB scores and total scores in high score group were lower than those in low score group, and the PANSS score was higher than that in low score group (P<0.05). Pearson correlation showed that, serum CRP was positively correlated with PANSS score and NO, and negatively correlated with SOD, GSH-Px and MCCB scores and total scores (P<0.05). Serum MT and IGF-1 were negatively correlated with PANSS score and NO, and positively correlated with SOD, GSH-Px and MCCB scores and total score (P<0.05). Conclusion: The level of serum CRP in patients with first-episode untreated SP increase, and the levels of MT and IGF-1 decrease, there is a significant correlation between the three and oxidative stress indicators and cognitive function. [ABSTRACT FROM AUTHOR]

Electrical anisotropy has a significant impact on the observation data of the magnetotelluric (MT) method; therefore, it is necessary to develop forward and inverse methods in electrical anisotropic media. Based on the axis anisotropic electric field control equations, forming a large linear equation through staggered finite difference approximation, adding boundary conditions, and using the quasi-minimum residual method to solve the equation, this study obtained MT forward modeling results in axis anisotropic media. The correctness of the algorithm was verified by comparing it with the 2D quasi-analytic solution. By designing several sets of axis anisotropic 3D models, the characteristics of the apparent resistivity tensor and tipper were analyzed. The results indicated that the py, p^y and Tzy are sensitive to changes in resistivity in the X direction of the anomalous body, whereas the pyx, paxx and Tzx are sensitive to changes in resistivity in the Y direction. The apparent resistivity tensor and tipper are insensitive to changes in resistivity in the Z direction of the anomalous body. For exploration of anisotropic media, the apparent resistivity tensor and tipper of MT can identify the changes in resistivity in two horizontal axes directions and the boundaries of the anomalous body, which has the advantages for exploration. [ABSTRACT FROM AUTHOR]

The prerequisite of inversion is the forward modeling study. In recent years, structured electromagnetic method for forward modeling has become mature. However, it has low computing efficiency and difficulty in simulating complex geological bodies. The electromagnetic field equations are represented by the coupled equations of magnetic vector potential and electric scalar potential. The node-based finite element method can efficiently calculate the electromagnetic field. The linear equations obtained are solved using a symmetric successive overrelaxation preconditioned conjugate gradient solver. This iterative method provides a faster solution speed. Unstructured grids used in numerical simulation can effectively simulate complex geological bodies. The use of adaptive finite elements optimizes the grid and improves calculation accuracy. The accuracy of the forward modeling code is verified through the establishment of layered models and three-dimensional models; the significant advantage of unstructured grids in simulating complex geological bodies is confirmed by the forward modeling simulation of complex ellipsoidal anomaly bodies; the effectiveness of the adaptive finite element method is verified by the forward modeling simulation of the prism model. [ABSTRACT FROM AUTHOR]

Copyright of Modern Food Science & Technology is the property of Editorial Office of Modern Food Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Preterm birth contributes to adverse mental health outcomes of parents dealing with a premature neonate. The main objective of this study is to determine whether music therapy (MT) songwriting during the infants' stay in the neonatal intensive care unit (NICU) is superior to standard care in reducing the risk of postpartum depression in high-risk parents of preterm children throughout the hospital treatment. The secondary objectives include assessment of effectiveness of MT in other aspects of mental health (anxiety level, perceived stress, mental wellbeing, coping, resilience). Furthermore, this trial will evaluate the medical and social factors that may be associated with the effects of MT songwriting. PARTICIPANTS AND PROCEDURE: The study design is a sequential mixed method study with a dominant status QUAN to qual. The quantitative trial was designed as a parallel, multicenter, pragmatic, randomized controlled trial. The qualitative study is a descriptive phenomenological study that seeks to understand the lived experiences of participants exposed to songwriting. Participants are parents of premature infants hospitalized in NICU (106 families) in 5 hospitals, in Colombia and Poland. Intervention: 3 MT songwriting sessions per week across 3 weeks. Primary outcome: the risk of postnatal depression; secondary outcomes: anxiety level, mental wellbeing, resilience, stress, coping. RESULTS: The results will be analyzed quantitatively and qualitatively. CONCLUSIONS: This study will provide a report on the effectiveness of MT songwriting on mental health in at-risk parents of preterm infants. [ABSTRACT FROM AUTHOR]

The prime objective of an intelligent system would have been to be able to interpret and communicate reliably between natural languages. Neural Machine Translation (NMT) has demonstrated a possible solution to the machine translation problem with its recent growth. Despite NMT's high data requirements, systems using different NMT models for low-resource languages have recently shown some astounding outcomes. Given the dearth of digitally accessible text datasets, Nepali is one of these low resource languages. In our study, we explore a bidirectional neural machine translation (NMT) system for the low-resource English-Nepali language pair. A parallel text corpus with over 20,500 sentences and the open-source OpenNMT toolkit are used in the construction of the system. Our NMT system's efficacy is evaluated using the automated evaluation metrics, BLEU and METEOR. For the English to Nepali, the system scored 19.83, 53.32 BLEU and METEOR, and for the Nepali to English, that is 21.94 and 57.52. [ABSTRACT FROM AUTHOR]

Background: Music Therapy (MT) is a non-pharmacological, art-based intervention that employs music experiences within a therapeutic alliance to attend to clients' physical, emotional, cognitive, and social requirements. This is the first study aiming at investigating the impact of MT on the psychological facets of children suffering from cancer. Methods: The study, combining the AQR and m-YPAS assessment tools, evaluated behavioral, sound–musical, and interactive parameters in pediatric oncology patients undergoing MT sessions during hospitalization. Fifty patients admitted to the Paediatric Oncology and Haematology Unit at Policlinico S. Orsola Hospital in Bologna, Italy, were enrolled, irrespective of their treatment regimen. Data collection occurred on the first day of the MT session between 3 p.m. and 5 p.m., with observations conducted by independent observers. In addition to traditional statistical analysis, network analysis was used to explore the combined interactions of all parameters, effectively discerning the distinctive roles played by each one during therapy sessions and their influence on all others. Results: Network analysis highlighted distinct patterns of interactions among parameters during the various sessions, emphasizing the role of positive emotions and a calm setting, the child's ability to take the initiative in sessions, their sense of agency, and the parent's role in guiding them. Significant differences were recorded at each time point between all variables considered. Conclusions: The results of this innovative study may pave the way for future multicenter studies aimed at further exploring the role of MT in children undergoing both curative and palliative treatments for cancer. [ABSTRACT FROM AUTHOR]

Microbiota refers to a collection of living microorganisms, including bacteria, yeasts, and viruses, that coexist in various sites of the human body. Microbiota can perform multiple functions in the body, which have an essential effect on human health and homeostasis. For example, the microbiota can digest polysaccharides, produce vitamins, modulate the immune system, and protect the body against pathogens. Various factors can occasionally alter the microbiota population in the human body, a condition known as dysbiosis. Dysbiosis can disrupt the homeostasis of a person's body and cause disease. Recent years have witnessed efforts to restore the microbiota population of an individual's body to its original state and eradicate dysbiosis through microbiota transplantation. The noteworthy point is that different methods such as fecal microbiota transplantation, vaginal microbiota transplantation (VMT), skin microbiota transplantation (SMT), oral microbiota transplantation (OMT), washed microbiota transplantation (WMT), and sinonasal microbiota transplantation (SiMT) are used for microbiota transplantation (MT). According to the results of studies and the usefulness of MT in improving a person's health, the purpose of this study is to investigate different methods of MT to eliminate dysbiosis.

Electrical anisotropy has a significant impact on the observation data of the magnetotelluric (MT) method; therefore, it is necessary to develop forward and inverse methods in electrical anisotropic media. Based on the axis anisotropic electric field control equations, forming a large linear equation through staggered finite difference approximation, adding boundary conditions, and using the quasi-minimum residual method to solve the equation, this study obtained MT forward modeling results in axis anisotropic media. The correctness of the algorithm was verified by comparing it with the 2D quasi-analytic solution. By designing several sets of axis anisotropic 3D models, the characteristics of the apparent resistivity tensor and tipper were analyzed. The results indicated that the ρxya, ρyya and Tzy are sensitive to changes in resistivity in the X direction of the anomalous body, whereas the ρyxa, ρxxa and Tzx are sensitive to changes in resistivity in the Y direction. The apparent resistivity tensor and tipper are insensitive to changes in resistivity in the Z direction of the anomalous body. For exploration of anisotropic media, the apparent resistivity tensor and tipper of MT can identify the changes in resistivity in two horizontal axes directions and the boundaries of the anomalous body, which has the advantages for exploration.

Preterm and extremely low-birth-weight newborns are at a higher risk for early-onset neonatal sepsis (NN-SP). This condition is often linked to intrapartum fever, PROM, and sepsis occurring within the first day of life. The causal pathogen can be acquired through intrauterine transmission or from the mother’s flora. Therefore, our study aimed to evaluate PC and PI in cases involving NN-SP. Therefore, we can conclude that analyzing the PC and its indices can improve the prognosis of sepsis in NN. Studying NN using this method is a cost-effective approach that helps prevent mortality and morbidity. Early identification of newborn sepsis can help reduce the associated medical tests and medical bills. Clinical correlation with specific indicators and tools is a method for achieving this.

Rhododendron simsii (R. simsii), a significant ornamental plant species, is adversely affected by the severe soil heavy metal pollution resulting from rapid industrialization, particularly in terms of its growth environment. Cadmium (Cd), a representative heavy metal pollutant, poses a significant threat to plant growth and photosynthetic physiology. Despite the importance of understanding Cd stress resistance in rhododendrons, research in this area is limited. This study focused on the role of exogenous melatonin (MT) in mitigating Cd-induced stress, emphasizing its impact on photosynthetic physiology. Gas exchange parameters, prompt and delayed fluorescence (DF), 820 nm modulated reflectance (Mr820), and antioxidant enzyme activity, were measured. The findings revealed that under Cd stress, MT-free treatment imposed a more severe limitation on both stomatal and non-stomatal processes in R. simsii leaves, significantly reducing the net photosynthetic rate. In contrast, exogenous MT improved photosynthetic efficiency by increasing the maximum photochemical efficiency of photosystem II, the quantum yield of electron transport, and the photosynthetic performance index. DF and Mr820 analysis demonstrated that MT provided robust protection to both the donor and receptor sides of photosystems I and II. Furthermore, MT significantly decreased malondialdehyde (MDA) content, a marker of oxidative stress, and enhanced the activity of antioxidant enzymes, including superoxide dismutase (SOD) and guaiacol peroxidase (POD). In conclusion, exogenous MT plays a critical role in alleviating Cd-induced stress by enhancing antioxidant defense mechanisms and safeguarding the photosynthetic apparatus, thereby improving the Cd tolerance of R. simsii.

Deep Learning algorithms have made great significant progress. Many model designs and methodologies have been tested to improve presentation in various fields of Natural Language Processing (NLP). NLP includes the domain of translation through the state-of-art process of machine interpretation. Deep learning refers to the use of neural networks with multiple layers to model complex patterns in data. In the context of NMT, deep learning models can capture the complex relationships between source and target languages, leading to more accurate and fluent translations. The encoder-decoder system is a framework for NMT that uses two neural networks, an encoder and a decoder, to translate input sequences to output sequences. The encoder network processes the input sequence and creates a fixed-length representation of it, while the decoder network generates the output sequence from the encoder's representation. Through the speech/text content process, the computer realizes and resembles the individual intervention known as machine translation. Besides a prominent study area, numerous methods, such as rule-based, quantitative, and even excellent illustration of machine translation supervision, are being established. In machine translation, neural networks have achieved considerable advancements. We reviewed various strategies involved with Encoding-Decoding for the Neural Machine Translation scheme in this research (NMT). Most of the neural machine translation (NMT) prototypes has built at a sequential framework of encoder-decoder that does not employ syntactic information. [ABSTRACT FROM AUTHOR]

We obtained the full-length cDNA clone of KAP26.1 in Liaoning cashmere goat, and then we further investigated biological functions of KAP26.1. First, we discovered KAP26.1 was specifically expressed in internal root sheath of skin hair follicles by semi-quantitative reverse transcription and polymerase chain reaction (semi-quantitative RT-PCR), hybridization in situ; immunohistochemistry revealed KAP26.1 was located in the internal and external root sheaths. Next, quantitative real-time polymerase chain reaction (qRT-PCR) results showed relative KAP26.1 expression quantity was significantly different between primary and secondary follicles during anagen, catagen, and remarkably increased during telogen. Moreover, after inhibiting Noggin expression, we found relative KAP26.1 expression quantity significantly declined; after KAP26.1 overexpression, we found relative Noggin expression quantity highly significantly declined. Finally, we found MT played a positive role in KAP26.1 and KAP26.1 expression; FGF5 and IGF-1 palyed a negative role in KAP26.1 and blocked the degradation of KAP26.1. The results revealed KAP26.1 played an important role in regulating fine hair development. [ABSTRACT FROM AUTHOR]

The present research aims to conduct a process-oriented analysis to measure whether a group of graduate students enrolled in a translation course made steady progress in their performance of identifying machine translation (MT) errors and post-editing MT drafts of company web texts and news texts. A mixed methods approach consisting of quantitative and qualitative analyses was used. The findings show that there was a steady decline in the average number of MT errors that students could not spot or correctly identify in their three assignments. However, there was no significant improvement in student MTPE performance, with only a slight decrease in errors in the final MTPE assignment, which still remained worse than the first one. Finally, student responses in their reflection essays indicated that their reception of MT and MTPE had shifted from negative denial to positive acceptance. Overall, the findings of the present study reveal the need to extend the period of MTPE training for students. Incorporating MT training into the translation course has proven to be worthwhile for students, as it helps to dispel students' previous misconception about MT and MTPE. [ABSTRACT FROM AUTHOR]

Simulation optimization of complex geological bodies is a necessary means to improve inversion accuracy and computational efficiency; thus, inversion of magnetotelluric (MT) based on unstructured grids has become a research hotspot in recent years. This article realizes the three-dimensional (3D) finite element forward modeling of MT based on the magnetic vector potential-electric scalar potential method, using unstructured grids as the forward modeling grid, which improves computational efficiency. The inversion uses the limited-memory Broyden–Fletcher–Goldfarb–Shanno (LBFGS) method, and in the process of calculating the objective function gradient, the quasi-forward method is used to avoid solving the Jacobian matrix, which has the advantages of requiring small storage space and fast computational efficiency. Finally, the 3D LBFGS inversion algorithm of MT based on unstructured grids was realized, and the inversion studies of classic and complex models verified the effectiveness and the reliability of the algorithm proposed in this article.

The Longgang volcanic field is one of the most active volcanoes in modern China. It is situated in the central region of the Longgang mountains on the west slopes of Changbaishan in Jilin. The present three-dimensional crustal movement velocity fields in the different periods were obtained by processing Global Navigation Satellite System (GNSS) observations from 2010 to 2020 and data for the leveling profiles from 1970s to 2010s in the area. The horizontal velocities of GNSS stations were larger in the eastern region than in the western regions, indicating that the eastern region is mainly tensile. The results of the continuous surface strain rates showed that a volcanic field is located in the expansion area. The results of the first-order leveling data for the Changfu profile and the Danfu profile showed that the vertical movements were predominantly uplift, with rates of 0.55~1.83 mm/a for most of the sites. The area with relatively higher uplifting rates of more than 1.0 mm/a was Fusong-Xianrenqiao-Laoshandui, which is rich in geothermal resources and prone to earthquakes. At the adjacent area, Meitong, the rates of the second-class leveling profile were relatively small, at 0.23~0.77 mm/a. The deep electrical structure of the volcanic area was obtained through the three-dimensional inversion of 99 broadband magnetotelluric soundings. The clear structures of the low resistivity in the middle and lower crusts corresponded to the uplift area, which is suggested to be a magmatic system. The position of the magma was relatively shallow. The electrical boundary zone at the northeast end of the Hunjiang fault was speculated to be the northern extension of the fault. The low-resistivity body had the largest scale and extended downward to the mantle. The shallowest low-resistivity body was approximately 10 km below the youngest Jinlongdingzi volcano, and the above high-resistivity structure was considered to be the retreat and consolidation magma after the overflow eruption ended. A comprehensive analysis showed that the ongoing inflation, uplift, and seismic activities of the crust in the volcanic area were related to the upwelling of mantle materials and fault movements caused by intermittent magma migration.

PurposeThe paper introduces a classical model to describe the dynamics of large spin-1/2 ensembles associated with nuclei bound in large molecule structures, commonly referred to as the semi-solid spin pool, and their magnetization transfer (MT) to spins of nuclei in water.Theory and methodsLike quantum-mechanical descriptions of spin dynamics and like the original Bloch equations, but unlike existing MT models, the proposed model is based on the algebra of angular momentum in the sense that it explicitly models the rotations induced by radiofrequency (RF) pulses. It generalizes the original Bloch model to non-exponential decays, which are, for example, observed for semi-solid spin pools. The combination of rotations with non-exponential decays is facilitated by describing the latter as Green's functions, comprised in an integro-differential equation.ResultsOur model describes the data of an inversion-recovery magnetization-transfer experiment with varying durations of the inversion pulse substantially better than established models. We made this observation for all measured data, but in particular for pulse durations smaller than 300 μs. Furthermore, we provide a linear approximation of the generalized Bloch model that reduces the simulation time by approximately a factor 15,000, enabling simulation of the spin dynamics caused by a rectangular RF-pulse in roughly 2 μs.ConclusionThe proposed theory unifies the original Bloch model, Henkelman's steady-state theory for MT, and the commonly assumed rotation induced by hard pulses (i.e., strong and infinitesimally short applications of RF-fields) and describes experimental data better than previous models.

Copyright of Quaderns: Revista de Traducció is the property of Universitat Autonoma de Barcelona and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Conscious visual motion information follows a cortical pathway from the retina to the lateral geniculate nucleus (LGN) and on to the primary visual cortex (V1) before arriving at the middle temporal visual area (MT/V5). Alternative subcortical pathways that bypass V1 are thought to convey unconscious visual information. One flows from the retina to the pulvinar (PUL) and on to medial temporal visual area (MT); while the other directly connects the LGN to MT. Evidence for these pathways comes from non‐human primates and modest‐sized studies in humans with brain lesions. Thus, the aim of the current study was to reconstruct these pathways in a large sample of neurotypical individuals and to determine the degree to which these pathways are myelinated, suggesting information flow is rapid. We used the publicly available 7T (N = 98; 'discovery') and 3T (N = 381; 'validation') diffusion magnetic resonance imaging datasets from the Human Connectome Project to reconstruct the PUL–MT (including all subcompartments of the PUL) and LGN–MT pathways. We found more fibre tracts with greater density in the left hemisphere. Although the left PUL–MT path was denser, the bilateral LGN–MT tracts were more heavily myelinated, suggesting faster signal transduction. We suggest that this apparent discrepancy may be due to 'adaptive myelination' caused by more frequent use of the LGN–MT pathway that leads to greater myelination and faster overall signal transmission. [ABSTRACT FROM AUTHOR]

As the depth of mineral exploration increases, integrated geophysical methods are increasingly playing a crucial role in prospecting deep structures at the district scale. The Nanling-Xuancheng ore district is the eighth ore district in the middle-lower Yangtze metallogenic belt in China. To reveal the deep structure of the mining district, this study mainly focuses on regional high-precision gravity and magnetic data and integrates the interpretation of magnetotelluric and reflection seismic data from a key area. By using a 2.5D joint inversion method with prior information constraints, new insights into the deep structures, tectonic deformation, and magmatic activity are obtained. Structurally, the Nanling-Xuancheng ore district presents a structural pattern of "two uplifts and two depressions" composed of multi-level thrust-overturned and folds formed by Mesozoic depressions, which has a three-layer structure in the vertical direction (shallower than 10 km). Tectonically, the main faults in the study area trend NW, which intersect with NE-trending and EW-trending faults to form a branching structure from deep to shallow. The fault intersections provide pathways for magma intrusion. The distribution of deep-seated concealed magmatic rocks shows the characteristic pattern of "a primary magma source spawning multiple subsidiary intrusion". [ABSTRACT FROM AUTHOR]

Bone biomineralization is a complex process in which type I collagen and associated non-collagenous proteins (NCPs), including glycoproteins and proteoglycans, interact closely with inorganic calcium and phosphate ions to control the precipitation of nanosized, non-stoichiometric hydroxyapatite (HAP, idealized stoichiometry Ca10(PO4)6(OH)2) within the organic matrix of a tissue. The ability of certain vertebrate tissues to mineralize is critically related to several aspects of their function. The goal of this study was to identify specific NCPs in mineralizing and non-mineralizing tissues of two animal models, rat and turkey, and to determine whether some NCPs are unique to each type of tissue. The tissues investigated were rat femur (mineralizing) and tail tendon (non-mineralizing) and turkey leg tendon (having both mineralizing and non-mineralizing regions in the same individual specimen). An experimental approach ex vivo was designed for this investigation by combining sequential protein extraction with comprehensive protein mapping using proteomics and Western blotting. The extraction method enabled separation of various NCPs based on their association with either the extracellular organic collagenous matrix phases or the inorganic mineral phases of the tissues. The proteomics work generated a complete picture of NCPs in different tissues and animal species. Subsequently, Western blotting provided validation for some of the proteomics findings. The survey then yielded generalized results relevant to various protein families, rather than only individual NCPs. This study focused primarily on the NCPs belonging to the small leucine-rich proteoglycan (SLRP) family and the small integrin-binding ligand N-linked glycoproteins (SIBLINGs). SLRPs were found to be associated only with the collagenous matrix, a result suggesting that they are mainly involved in structural matrix organization and not in mineralization. SIBLINGs as well as matrix Gla (γ-carboxyglutamate) protein were strictly localized within the inorganic mineral phase of mineralizing tissues, a finding suggesting that their roles are limited to mineralization. The results from this study indicated that osteocalcin was closely involved in mineralization but did not preclude possible additional roles as a hormone. This report provides for the first time a spatial survey and comparison of NCPs from mineralizing and non-mineralizing tissues ex vivo and defines the proteome of turkey leg tendons as a model for vertebrate mineralization.

Novel MRI contrast methods, such as Chemical Exchange Saturation Transfer (CEST), rely on previously developed theory and approaches, often introduced first in solidstate NMR. Understanding or at least connecting the basic principles and original works to the modern-day contrast methods in MRI is instructive. The work brings together concepts in relaxation, saturation, and spin lock experiments in the dynamic (exchanging) systems. The work describes how basic principles and theory are translated and being applied to MRI contrast, including MT and CEST. Finally, we review select papers generalizing concepts of relaxation under periodic RF.

Once diagnosed with obstructive sleep apnea (OSA), a titration with either continuous positive airway pressure (CPAP) or automatic positive airway pressure (APAP) is planned to know the pressure required to abolish the airflow limitation during sleep. Majority of OSA patients are treated with such positive pressure therapy (PAP) devices, but it is not the only form of therapy of OSA. The static obstruction in OSA can be counterbalanced by increasing the pressure from inside and this is being exactly done by PAP therapy. The static obstruction can also be relieved with surgery. IOD (intraoral device) or OPT (oral pressure therapy) is a device which also try to open the upper airway during sleep or prevent collapse. But a dynamic obstruction during sleep, on top of this static obstruction causes complete or partial closure of the upper airway. There are different therapies available to address dynamic obstruction during sleep. Like myofunctional therapy or devices which improve muscle responsiveness are such mode of treatment. Similarly, arousal threshold or loop gain can be addressed with different medications. Sometimes OSA occur only in a particular decubitus and can be addressed with positional therapy. The different form of therapies can be broadly divided into three categories: primary treatment, alternative treatment, and adjunctive treatment. In this review article, a brief description of different forms of therapy in OSA will be presented.

In large granaries, maize storage period could last 3–5 years in China. Free fatty acids (FFA) content is commonly used as a sensitivity indicator of grain quality changes during storage. Samples of the stored grain are taken manually and tested in the laboratory monthly for regular quality monitoring. Although substantial labor and time are consumed, the testing way lacks of real-time. Temperature is a main factor influencing the quality of stored grain. In this study, it was analyzed that the effective accumulated temperature (EAT) had a strong correlation coefficient with FFA. Classification and regression trees (CART) and model trees (ML) in machine learning (ML) methods were used to estimate FFA by EAT based on data collected from 11 large granaries in northeastern China. While the minimum number of samples for segmentation was set as 20, the two models both had the optimal performance. The two models were evaluated by mean absolute error (MAE), root mean square error (RMSE) and the coefficient of determination (R2). The MAE, RMSE and R2 of CART and MT are 1.296, 1.761, 0.759; 1.247, 1.821, and 0.741, respectively. As CART had the lower RMSE and the larger R2, the model performance of CART was better. The model provided a method to estimate the changes of FFA based on the exist temperature monitoring system in large granaries as a way of stored maize quality real-time monitoring.

Abstract Background TMS is being used to aid in the diagnosis of central nervous system (CNS) illnesses. It is useful in planning rehabilitation programs and setting appropriate goals for patients. We used a parabolic coil with biphasic pulse stimulation to find normal values for diagnostic TMS parameters. Objectives 1. To determine the normal motor threshold (MT), motor evoked potentials (MEP), central motor conduction time (CMCT), intracortical facilitation (ICF), short-interval intracortical inhibition (SICI), and silent period (SP) values. 2. To measure the MEP latencies of abductor pollicis brevis (APB) and extensor digitorum brevis (EDB) at various ages, heights, and arm and leg lengths. Study design Descriptive Study. Setting Department of Rehabilitation Medicine, Chiang Mai University, Thailand. Subjects Forty-eight healthy participants volunteered for the study. Methods All participants received a single diagnostic TMS using a parabolic coil with biphasic pulse stimulation on the left primary motor cortex (M1). All parameters: MT, MEP, CMCT, ICF, SICI, and SP were recorded through surface EMGs at the right APB and EDB. Outcome parameters were reported by the mean and standard deviation (SD) or median and interquartile range (IQR), according to data distribution. MEP latencies of APB and EDB were also measured at various ages, heights, and arm and leg lengths. Results APB-MEP latencies at 120% and 140% MT were 21.77 ± 1.47 and 21.17 ± 1.44 ms. APB-CMCT at 120% and 140% MT were 7.81 ± 1.32 and 7.19 ± 1.21 ms. APB-MEP amplitudes at 120% and 140% MT were 1.04 (0.80–1.68) and 2.24 (1.47–3.52) mV. EDB-MEP latencies at 120% and 140% MT were 37.14 ± 2.85 and 36.46 ± 2.53 ms. EDB-CMCT at 120% and 140% MT were 14.33 ± 2.50 and 13.63 ± 2.57 ms. EDB-MEP amplitudes at 120% and 140% MT were 0.60 (0.38–0.98) and 0.95 (0.69–1.55) mV. ICF amplitudes of APB and EDB were 2.26 (1.61–3.49) and 1.26 (0.88–1.98) mV. SICI amplitudes of APB and EDB were 0.21 (0.13–0.51) and 0.18 (0.09–0.29) mV. MEP latencies of APB at 120% and 140% MT were different between heights

Chemical exchange saturation transfer (CEST) MRI has positioned itself as a promising contrast mechanism, capable of providing molecular information at sufficient resolution and amplified sensitivity. However, it has not yet become a routinely employed clinical technique, due to a variety of confounding factors affecting its contrast‐weighted image interpretation and the inherently long scan time. CEST MR fingerprinting (MRF) is a novel approach for addressing these challenges, allowing simultaneous quantitation of several proton exchange parameters using rapid acquisition schemes. Recently, a number of deep‐learning algorithms have been developed to further boost the performance and speed of CEST and semi‐solid macromolecule magnetization transfer (MT) MRF. This review article describes the fundamental theory behind semisolid MT/CEST‐MRF and its main applications. It then details supervised and unsupervised learning approaches for MRF image reconstruction and describes artificial intelligence (AI)‐based pipelines for protocol optimization. Finally, practical considerations are discussed, and future perspectives are given, accompanied by basic demonstration code and data. [ABSTRACT FROM AUTHOR]

Behavioral studies suggest that motion perception is rudimentary at birth and matures steadily over the first few years. We demonstrated previously that the major cortical associative areas serving motion processing, like middle temporal complex (MT1), visual cortex area 6 (V6), and PIVC in adults, show selective responses to coherent flow in 8-week-old infants. Here, we study the BOLD response to the same motion stimuli in 5-week-old infants (four females and four males) and compare the maturation between these two ages. The results show that MT1 and PIVC areas show a similar motion response at 5 and 8 weeks, whereas response in the V6 shows a reduced BOLD response to motion at 5 weeks, and cuneus associative areas are not identifiable at this young age. In infants and in adults, primary visual cortex (V1) does not show a selectivity for coherent motion but shows very fast development between 5 and 8 weeks of age in response to the appearance of motion stimuli. Resting-state correlations demonstrate adult-like functional connectivity between the motion-selective associative areas but not between primary cortex and temporo-occipital and posterior-insular cortices. The results are consistent with a differential developmental trajectory of motion area respect to other occipital regions, probably reflecting also a different development trajectory of the central and peripheral visual field. [ABSTRACT FROM AUTHOR]

Neurons in the primate middle temporal (MT) area signal information about visual motion and work together with the lateral prefrontal cortex (LPFC) to support memory‐guided comparisons of visual motion direction. These areas are reciprocally connected, and both contain neurons that signal visual motion direction in the strength of their responses. Previously, LPFC was shown to display marked changes in stimulus coding with altered task demands, including changes in selectivity for motion direction, trial‐to‐trial variability in responses and comparison effects. Since MT and LPFC are directly interconnected, we sought to determine if MT neurons display similar dependence on task demands. We found that active participation in a motion direction comparison task affected both sensory and nonsensory activity in MT neurons. In fact, neurons that became less selective for motion direction during the active task showed increased signalling for cognitive aspects of the task. This heterogeneity in neural modification with heightened task demands suggests a division of labour in MT, whereby sensory and cognitive signals are both heightened in different subpopulations of neurons. [ABSTRACT FROM AUTHOR]

The global burden of colorectal cancer (CRC) is increasing annually. CRC could develop from genetic and phenotypic factors involving changes in gene expression. Incredibly, the human genome transcribes into non‐coding RNAs, among which long non‐coding RNAs (lncRNAs) signify the most crucial part of the transcriptome in multicellular organisms. lncRNAs affect gene expression at multiple levels, from transcription to protein localization and stability. Recent studies have implicated lncRNA small nucleolar RNA host gene 15 (SNHG15) in cancers occurrence and progression. Previously, an indication suggests SNHG15 overexpression triggers proliferation, metastasis, and impedes apoptosis in CRC. Further, through its activity of binding micro‐RNAs, lncRNA SNHG15 modulates genes associated with CRC progression and promotes CRC resistance to chemotherapeutic drugs. Here, we reviewed recent findings on the various mechanisms and roles of lncRNA SNHG15 implicated in CRC tumorigenesis. We further highlight how SNHG15 plays a vital role in regulating critical pathways linked to the development and progression of CRC. Finally, we highlight how SNHG15 can be modulated for CRC treatments and the various therapeutic strategies to be implored when targeting SNHG15 in the context of CRC treatments. Findings from these studies present SNHG15 as a potential therapeutic target for preventing and treating CRC. [ABSTRACT FROM AUTHOR]