1326 results about "After treatment" patented technology

The invention belongs to the technical field of tunnel construction geological disaster prevention and control, and discloses a multi-source data fused refined treatment decision-making method for a complex stratum disaster source, which comprises the following steps: collecting and fusing multi-source geological data, and constructing a three-dimensional geological model; generating a disaster source risk dynamic assessment and treatment scheme; based on a fluid-solid coupling similarity theory, verifying the preliminary treatment scheme by adopting a physical model test, and determining an optimal treatment scheme; the optimal treatment scheme is executed, and the treatment process is dynamically regulated and controlled; after treatment, the treatment effect is evaluated through posterior data, and the effect data is fed back to the three-dimensional geologic model and the knowledge base, so that the dynamic updating of the model and the self-learning of the decision-making system are realized. By the adoption of the treatment decision method, the problems that a traditional method depends on experience, information is one-sided, and treatment is extensive are solved, advanced accurate forecasting and refined and personalized treatment of complex stratum disaster sources are achieved, and the safety and efficiency of tunnel construction are remarkably improved.

Systems and methods are disclosed for simulation of occluded arteries and / or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

The invention discloses a tumor radiotherapy effect evaluation method and system based on machine learning. The method comprises the following steps: collecting clinical information of a patient; performing data preprocessing on the clinical information of the patient to obtain standard patient data; according to the standard patient data, a chi-square test model is adopted for screening, and patient data features related to prediction indexes are obtained; inputting the patient data features into a pre-constructed multi-task deep learning model, inputting screened features, and predicting the survival state of the patient after radiotherapy to obtain a tumor volume estimation result; wherein the tumor volume estimation result comprises tumor prediction results of a first period, a second period and a third period after treatment; wherein the multi-task deep learning model is a model obtained by training according to an original sample. According to the method, the labeling quantity of the medical image is increased, and the labeling efficiency is improved.

The invention belongs to the technical field of cutting fluid wastewater treatment supervision, and particularly relates to a cutting fluid wastewater treatment system for machine tool accessory processing, which comprises a wastewater step-by-step treatment unit, an in-out online monitoring unit, a pollution analysis unit, a wastewater treatment management and control analysis unit and an intelligent management end, various pollutants in cutting fluid wastewater are removed by integrating various treatment technologies through the wastewater step-by-step treatment unit, and the in-out online monitoring unit samples the cutting fluid wastewater before treatment and purified water after treatment and collects monitoring data of various pollution parameters in corresponding sampled liquid. The pollution analysis unit judges the pollution condition based on the monitoring data of each pollution parameter in the corresponding sampling liquid, and the wastewater treatment management and control analysis unit judges whether wastewater treatment is abnormal or not through analysis and accurately evaluates the treatment management and control performance for cutting fluid wastewater treatment. The treatment efficiency and the treatment effect of the cutting fluid wastewater can be guaranteed, and the intelligent and automatic levels are high.

The invention relates to the technical field of medical data analysis, in particular to a brain tumor curative effect analysis system which comprises a tumor data sensing layer for collecting multi-department diagnosis and treatment data, tumor image data and patient pathology monitoring data; the tumor feature processing center extracts data features, correlates data and core features before and after treatment through an attention mechanism, and generates a tumor complete-cycle unified feature map; the therapeutic effect dynamic analysis unit evaluates the therapeutic effect in stages, and outputs a therapeutic effect index and a recurrence risk value through a self-supervised model; the dynamic adaptation decision module is used for generating personalized treatment adjustment suggestions based on the dynamic change of the blood brain barrier in combination with the curative effect index, the recurrence risk value and the multi-omics characteristics of the patient; and the AI multi-department consultation unit automatically matches similar cases with field expert suggestions, and formulates a target diagnosis and treatment scheme based on a visual platform and multi-department doctor collaborative consultation in combination with personalized treatment adjustment suggestions. Therefore, the problems of lagging effect evaluation, insufficient diagnosis and treatment suggestions and the like in the prior art are solved.

The invention provides a continuous purification method of crude acetonitrile, and belongs to the field of acetonitrile purification. The continuous purification method of the crude acetonitrile comprises the following steps: rectification light component removal, membrane separation impurity removal, adsorption impurity removal and rectification purification. According to the continuous purification method of the crude acetonitrile, continuous purification of the crude acetonitrile can be realized, and meanwhile, the problems that new impurities are introduced by side reactions, the rectification efficiency and the rectification stability are influenced by treated products and the device is influenced by over-high alkalinity of the treated secondary rectification liquid due to the fact that sodium hydroxide and formaldehyde are adopted to treat the rectification liquid are avoided; the acetonitrile product with the purity meeting the requirement is prepared by continuously purifying the crude acetonitrile.

The invention relates to the technical field of aplastic anemia (AA) treatment research, discloses a biomarker method for predicting the curative effect of cyclosporine on aplastic anemia, and aims to detect plasma differential metabolites of patients with aplastic anemia by adopting a metabonomics technology, find potential biomarkers for treating AA patients and find the curative effect of cyclosporine on the AA patients. CsA) is used for treating the in-vivo metabolism of AA. The method is based on liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) technologies, and comprises the following steps: collecting 5 plasma samples of AA patients, 5 plasma samples of healthy people and 5 plasma samples of patients in a stable period after treatment for comparative analysis; and screening differential compounds by adopting a multivariate statistical method, and further performing enrichment analysis on differential metabolites. Research of the method shows that in-vivo metabolites of AA patients and healthy people are obviously different, and the way related to immunity and energy metabolism may be a key target for treating AA; csA intervenes the occurrence and development of AA by regulating and controlling immune-related metabolic ways.

An interactive pain management system is provided comprising a laser treatment device and an application executing on the device that receives entry of identification information for a first patient and receives entry of a body region to receive treatment. The system also receives entry of a present pain level experienced in the body region, accesses stored information describing previously reported conditions of the first patient and based on the received entries and the accessed store information, determines a treatment regimen for the first patient. The laser treatment device executes the treatment regimen by manual administration by the first patient or a qualified technician. The system requests entry of the first patient's present condition, the condition comprising one of feeling worse, feeling better, and experiencing no change since an immediately previous treatment. Changes in the condition of the first patient are incorporated into the determination of the treatment regimen.

The invention relates to a preparation method and application of a covalent organic framework material capable of adsorbing sulfonamide antibiotics. The method comprises the following steps: S1, respectively putting an amino-containing monomer and an aldehyde-containing monomer into a glass tube to obtain a mixture, then adding a solvent, performing ultrasonic uniform mixing, then adding an acetic acid solution for catalytic reaction, and performing uniform mixing to obtain a mixed solution; s2, freezing the mixed solution with liquid nitrogen, then circularly vacuumizing, sealing a glass tube, drying after treatment, cooling to room temperature, and filtering and washing to obtain a precipitate; and S3, carrying out Soxhlet extraction, repeatedly washing, and putting into a vacuum oven to obtain a product, namely the covalent organic framework material capable of adsorbing the sulfonamide antibiotics. According to the application, the adsorbent is applied to adsorption of sulfonamide antibiotics in water. The novel covalent organic framework material prepared by the invention is used for removing low-concentration sulfonamide antibiotics for the first time, and is considered as an excellent adsorption material capable of reducing the risk of water quality and guaranteeing the health of water quality.

The invention discloses a building engineering waste treatment device with a classified storage function, and relates to the field of waste recycling, the building engineering waste treatment device comprises a treatment box and a material adding opening formed in the upper portion of the treatment box, a buoyancy separation chamber is arranged in the treatment box, and the buoyancy separation chamber and the material adding opening communicate with each other; and a floating collection mechanism is arranged above the buoyancy separation chamber. According to the building engineering waste treatment device with the classified storage function, by means of the ingenious layout of the buoyancy sorting chamber, waste such as wood and plastic is separated from building stone such as concrete, the waste is in a floating state, the waste sinks to the bottom, and then various substances are crushed through the first crushing mechanism and the second crushing mechanism, so that the waste treatment efficiency is improved. The solid waste is destroyed and conveniently recycled, after treatment is completed, materials are classified and stored through different classified storage boxes, the classified storage effect is achieved, useful metal objects in crushed objects can be sorted, and therefore the follow-up recycling process is greatly facilitated.

Systems and methods are described for generating accurate predictions of the post-treatment anatomy of a patient. The methods involve receiving one or more oral care arguments that describe the desired output from a trained machine learning model. One or more noisy representations of the patient's face and / or post-treatment dentition can be used to train a denoising diffusion probabilistic model. In deployment, an initially noisy image can be denoised, with conditioning on latent representations of the patient's pre-treatment photo and the post- restoration dentition. The methods may generate a digital representation of the patient's post-treatment appearance. These systems and methods enable improved predictive accuracy and enable treatment planning for orthodontics and dental restorative treatments.

Provided herein are methods, devices, and systems comprising identification of a panel of gene markers useful for immune cell typing and identifying, detecting, and / or monitoring disease conditions in a subject in need thereof, including infections, cancer and autoimmune conditions. The methods also provide for assays for determining the levels of said markers prior to and after treatment of a condition in the subject, wherein the condition is impacted by one or more factors including age, occupation or environment of the subject.

The present invention discloses an oil-water separation device for treating oily wastewater, which relates to the technical field of wastewater treatment devices, and comprises a reinforced support leg, a gravity separation mechanism is arranged on the top of the reinforced support leg, a freezing separation mechanism is arranged on the outer wall of the reinforced support leg, the gravity separation mechanism comprises an oil-water separation unit and a demulsification heating unit, the freezing separation mechanism comprises a drive transposition unit and a temperature adjustment unit, and the demulsification heating unit comprises a movable round seat. The present invention, through the design of the liquid inlet pipe, the user can inject the external demulsifier into the inner cavity of the hollow square tube, through the design of the rotating joint, the movable round seat and the manual driving handle, the user can manually rotate the hollow square tube as a whole, and the demulsifier will then be uniformly output from the one-way injection pipe to the inside of the wastewater, destroying the emulsified oil body inside the wastewater, so that the emulsified oil body floats up, thereby ensuring the adequacy of subsequent oil-water separation.

The invention discloses an immunotherapy prediction model training method, calling method, device and equipment, and the method comprises the steps: obtaining a clinical pathology image and clinical pathology information, the clinical pathology image is a pathology image of an immunotherapy patient before treatment, and the clinical pathology information is a pathology image of the immunotherapy patient before treatment; the clinical pathological information comprises pre-treatment clinical information and post-treatment prognosis information of the immunotherapy patient; marking the clinical pathology image to obtain a marked image, and performing feature extraction on the marked image based on the clinical pathology information to obtain pathology omics features; and carrying out model training by adopting the pathological omics characteristics to obtain an immunotherapy prediction model. The image features are accurately extracted through the pathological information, then the image features are used for model training, the precision of the model can be improved, and the error of the model is reduced.

The invention relates to the field of image processing, in particular to an artificial intelligence auxiliary analysis system based on orthopedic images, which comprises an image acquisition module, a grade determination module, a fracture detection module, a treatment detection module and a processing module. The fracture degree and the corresponding healing condition can be more accurately judged by comprehensively analyzing the initial bone image and the post-treatment bone image in combination with factors such as the age and the gender of a patient, the diagnosis accuracy is greatly improved, the bone healing rate is obtained by comparing the initial bone fracture proportion and the post-treatment bone fracture proportion, and the diagnosis accuracy is improved. Reliable data support is provided for evaluating the treatment effect, diagnosis and evaluation time can be greatly shortened, the overall treatment efficiency can be improved, whether the treatment effect is good or not is judged according to clinical data, suggestions about whether an operation needs to be conducted again or rehabilitation guidance needs to be given, the risk of human judgment errors can be reduced, and the treatment efficiency is improved. And the accuracy of diagnosis and treatment decisions is improved.

The utility model discloses a TEG automatic cleaning furnace for cleaning a spinneret plate. The TEG automatic cleaning furnace comprises a control cabinet, a transfer device, a TEG cleaning device and a bearing support mechanism. The transfer device comprises a lifting driving mechanism, a swing driving mechanism and a support locking mechanism. According to the TEG automatic cleaning furnace for cleaning the spinneret plate, by means of cooperation of the lifting driving mechanism, the swing driving mechanism and the support locking mechanism, locking and hoisting of the bearing support mechanism can be achieved, and therefore the spinneret plate borne on the bearing support mechanism is automatically fed into the TEG cleaning device to be subjected to triethylene glycol cleaning treatment; and after treatment is completed, the bearing support mechanism and all the spinneret plates are lifted and taken out together, manual participation is greatly reduced, and the batch cleaning efficiency of the spinneret plates is effectively improved.

The invention relates to hemostatic nano hydrogel particles as well as a preparation method and application thereof. The hemostatic nano hydrogel particles are prepared from the following raw materials in parts by weight: 40 to 50 parts of mesoporous silica nano particles, 20 to 33 parts of thrombin, 25 to 50 parts of methacrylamide gelatin and 0.5 to 1.25 parts of a photoinitiator. The invention further provides a hemostasis system composed of the nano hydrogel particles and an initiation light source. The hemostatic hydrogel particles prepared by the invention can trigger rapid blood coagulation at a wound part under illumination and can be continuously adhered to the wound part, and the hemostatic hydrogel particles have the effects of keeping thrombin activity, reducing the risk of bleeding after treatment and improving the hemostatic capability.

The invention discloses a separation device and a separation method for traditional Chinese medicine formula medicinal materials for reducing uric acid, and relates to the technical field of medicinal material separation.The separation device comprises an equipment body, a bottom plate is fixedly arranged at the bottom of the equipment body, a spraying mechanism is arranged on the equipment body, and a cleaning position switching mechanism is arranged above the bottom plate; the cleaning position switching mechanism can move the cleaned medicinal materials out of the interior of the equipment body and place the medicinal materials to be cleaned at the cleaning position in the equipment body. The problems that in the prior art, when traditional Chinese medicinal materials are cleaned in batches, an operator needs to manually place a part of the medicinal materials into cleaning equipment and take out the medicinal materials after treatment is completed, a lower filter plate needs to be operated after the whole cleaning task is completed, and if the cleaning task consumes a long time, the cleaning efficiency is high are solved. The lower filter plate may accumulate a large amount of impurities due to the fact that the lower filter plate is not cleaned in time for a long time.

The invention provides an application of a T lymphatic activation related cytokine as a biomarker in prediction of children immune globulin non-reactive Kawasaki disease. The team finds that in patients of an IVIG sensitive group and an IVIG non-response group, differences of expression levels of IL-6 and IL-17 before and after treatment have statistical significance; meanwhile, ROC curve analysis shows that IL-6 and IL-17 serve as early warning signals, and the prediction efficiency of the IVIG-unreacted Kawasaki disease is remarkably superior to that of existing prediction factors. Particularly, the levels of IL-6 and IL-17 are re-evaluated after initial treatment, so that the early prediction accuracy of the IVIG unresponsive Kawasaki disease can be further improved. By introducing IL-6 and IL-17 as novel biomarkers, early accurate prediction of the IVIG unresponsive Kawasaki disease is realized. Compared with the prior art, the method can provide a quicker and more accurate risk assessment basis for clinicians, so that early recognition of high-risk patients, optimization of subsequent treatment schemes and reduction of serious complications are facilitated, and a new thought and direction are provided for clinical diagnosis and treatment.

The invention relates to the technical field of transcranial direct current stimulation, and particularly discloses a transcranial direct current stimulation intervention system which analyzes a brain structure network and a brain function network marked as effective before and after treatment by using a data processing and image analysis algorithm based on a machine learning and artificial intelligence technology. According to the method, brain structure-function network features before treatment are captured, and brain network state features of a new individual are reflected by performing feature extraction and splicing on a brain structure network and a brain function network of the new individual when brain positive reaction possibility identification and potential effectiveness detection are actually performed on the new individual. And taking the brain network state features of the new individual as an index to query feature information with similar response from a brain network state database with effective intervention, so as to identify the possibility of positive reaction of the brain of the new individual, thereby predicting whether the classical tDcs intervention normal form is effective to a patient object to be evaluated or not.

The invention relates to a treatment method for realizing TMS treatment for mood disorder and anxiety disorder based on emotion induction. The treatment method comprises the following steps: performing clinical assessment on mental and psychological states of a patient before treatment; performing brain magnetic resonance examination processing on the patient based on the emotion induction state; performing priority ranking processing on the selected individualized target spots according to the clinical evaluation of the patient and the abnormal degree of the brain function activity under emotion induction; a TMS treatment scheme under the emotion induction scene is formulated according to the target priority arrangement sequence; performing treatment evaluation in a short-term time period, and performing long-term prediction of a future residual treatment trajectory by using the curative effect prediction model; after treatment is finished, a treatment track is fed back to the local database, and clinical evaluation after treatment is carried out. The invention further relates to a corresponding device, a processor and a storage medium. By adopting the method, the device, the processor and the storage medium, the contrast difference of the patient in different situations can be effectively displayed through the situational stimulation library and the situational brain function image.

The invention provides a silica gel occlusion induction unit with personalized tooth socket design, which is obtained according to the following method: obtaining initial mixed dentition and dental arch data of a patient through oral scanning and importing the data into digital software; calculating according to the initial mixed dentition dental arch data of the patient to obtain a constant dentition target dental arch after the treatment of the patient is finished; overlapping and integrating the initial dental arch of the patient and the target dental arch after treatment; according to the integrated digital model, designing tooth space morphological parameters of the personalized occlusion induction unit; determining a theoretical model of the occlusion induction unit according to the obtained tooth space morphological parameters; according to the obtained theoretical model of the occlusal induction unit, the solid occlusal induction unit is prepared, and the wearing comfort and the treatment effect can be both considered.

The invention provides an applicable population screening method and application of a glioma dry-like cell sensitized DC vaccine, peripheral blood of a patient before and after inoculation of the glioma dry-like cell sensitized DC vaccine is obtained, mononuclear cells are extracted, CD8 + T cells are respectively separated from the mononuclear cells through a magnetic bead sorting method, and the CD8 + T cells are separated from the mononuclear cells. The method comprises the following steps: uniformly inoculating CD8 < + > T cells into an ELISPOT cell culture plate coated with an IFN-gamma antibody for culture, respectively setting an experimental group and a positive control group for culture, adding A2B5 < + > glioma cell lysis buffer into the experimental group and adding phytohemagglutinin into the positive control group, and carrying out ELISPOT staining on the cultured cells to obtain the secretion amount of FN-gamma before and after treatment of a patient. According to the secretion amount of the FN-gamma, patients with specific immune response to the glioma dry-like cell sensitization DC vaccine are screened, so that the glioma dry-like cell sensitization DC vaccine is conveniently popularized and applied, and the immune mechanism of the glioma dry-like cell sensitization DC vaccine is researched.

The invention relates to the technical field of saline-alkali soil monitoring and treatment, and particularly discloses a saline-alkali soil information monitoring and treatment method and system. A camera is used for collecting full topographic data of a target saline-alkali soil before treatment and full topographic data of the target saline-alkali soil after treatment; introducing an image processing algorithm based on deep learning to perform feature extraction on the full topographic data before and after treatment so as to respectively capture the topographic and geomorphic features of the target saline-alkali soil before and after treatment, and then taking the topographic and geomorphic features of the saline-alkali soil before treatment as a baseline state; and performing causal alignment analysis on the landform characteristics and the baseline state of the treated saline-alkali soil to excavate the potential difference between the landform characteristics and the baseline state, thereby realizing intelligent assessment of the treatment effect. Therefore, by considering the landform information before and after saline-alkali land treatment, the treatment effect can be analyzed more accurately, and the influence of short-term fluctuation of soil physical property parameters on treatment effect evaluation is avoided.

The invention provides a traditional Chinese medicine preparation for treating or improving depression, and relates to the technical field of traditional Chinese medicine pharmacy. The traditional Chinese medicine preparation is prepared from the following ten medicinal materials: semen aesculi, fructus citri, fructus toosendan, semen celosiae, herba commelinae, herba senecionis scandentis, fructus liquidambaris, semen pruni, common fenugreek seed and liquorice root, and all the medicinal materials are combined to achieve the effects of soothing liver and regulating qi, clearing liver and purging fire, regulating liver and spleen simultaneously, dredging meridians and collaterals and warming kidney yang, so that liver depression can be relieved, qi activity can be smooth, liver fire can be cleared and depression syndrome can be removed. The traditional Chinese medicine preparation disclosed by the invention has a remarkable improvement effect on depression-like behaviors of mice with depression and has a remarkable inhibition effect on neuroinflammation. Meanwhile, the traditional Chinese medicine preparation is combined with western medicines to treat depression, the effect is remarkable, the HAMD-17, HAMA and TESS scores of treated depression patients can be remarkably reduced, depression and anxiety moods of the patients are remarkably improved, adverse reactions are relieved, and the traditional Chinese medicine preparation provides a new thought for treating depression through traditional Chinese medicine.

The invention discloses an adenine base editor for DFNB9 hearing loss repair, and belongs to the field of gene therapy of hearing repair. The fusion protein comprises nNme2Cas9, and adenine deaminase TadA-8e or TadA-8e-N108Q (adenine deaminase) or TadA-8e-N108Q-L145T (adenine deaminase). The invention further discloses a preparation method of the adenine deaminase. The amino acid sequences of the TadA-8e, the TadA-8e-N108Q and the TadA-8e-N108Q-L145T are respectively as shown in SEQ ID NO. 1 to SEQ ID NO. 3. The fusion protein and a guide RNA form a base editor. Compared with the prior art, the base editor is used as a treatment means, severe deafness can be recovered to a normal level, and the effect can be maintained for at least six months after treatment. In addition, the treatment window period is relatively long, and the method has clinical transformation significance.

An oval body adjustable gynecological close-range after-loading source applicator solves the problem that cervical cancer patients who cannot adapt to various vaginal environments in the prior art are prone to errors in radiotherapy doses, leading to tumor control failure and aggravated side effects. It includes an intermediate connecting frame composed of a connecting frame body, characterized in that: the source applicator bend is inserted into the bend installation hole at the upper end of the intermediate connecting frame; the oval body left hemisphere and the oval body right hemisphere symmetrically arranged on both sides of the intermediate connecting frame are both composed of hemispherical shells, and the opposite sides of the two hemispherical shells are respectively provided with concave cavities; the oval body left hemisphere and the oval body right hemisphere are connected to the intermediate connecting frame through an oval body adjustment mechanism. It has a reasonable design and a compact structure, can meet the treatment needs of different types of patients with mid- and late-stage cervical cancer radiotherapy, is easy to operate, can effectively improve the quality of radiotherapy, is non-invasive, has small side effects after treatment, is economical and practical, and has good patient compliance.

Systems and methods are disclosed for simulation of occluded arteries and / or optimization of occlusion-based treatments. One method includes obtaining a patient-specific anatomic model of a patient's vasculature; obtaining an initial computational model of blood flow through the patient's vasculature based on the patient-specific anatomic model; obtaining a post-treatment computational model by modifying portions of the initial computational model based on an occlusion-based treatment; generating a pre-treatment blood flow characteristic using the initial computational model or computing a post-treatment blood flow using the post-treatment computational model; and outputting a representation of the pre-treatment blood flow characteristic or the post-treatment blood flow characteristic.

The invention discloses application of lobetyolin in preparation of a medicine for treating atherosclerosis, and belongs to the field of biological medicine. The atherosclerosis comprises atherosclerosis induced by a high methionine diet. Through verification, IL-33 in aortic tissues of ApoE <- / -> mice with high methionine diet is remarkably increased, and the expression level of IL-33 in the aortic tissues of the mice is remarkably reduced compared with that of a model group after the mice are treated by lobetyolin. It is proved that lobetyolin has a positive regulation effect on treatment of atherosclerosis. Through molecular docking analysis, the binding energy between the lobetyolin and the IL-33 is-7.3 kcal / mol, which indicates that the IL-33 and the lobetyolin have good binding stability. The invention provides a new idea for clinical treatment of atherosclerosis.

Described herein are methods of managing eosinophilic esophagitis (EoE) in a patient, wherein the patient records the number of episodes of dysphagia on a patient report outcome (PRO) questionnaire prior to and during the course of treatment. While on treatment, the number of episodes of dysphagia are reduced, as reported on the PRO questionnaire. In some embodiments, the esophageal eosinophils are counted before or after treatment, or both. In some embodiments, esophageal eosinophils counts are not correlated with a reduction in the episodes of dysphagia.