Significant Results Research Articles

Outcomes Of Patients With Abdominal Aortic Aneurysms: A Retrospective Analysis Of Ct Imaging And Surgical Interventions

Background: Abdominal aortic aneurysms are a severe vascular disease that is mainly asymptomatic until rupture occurs. CT imaging is therefore very important in evaluating Abdominal aortic aneurysm and in helping in the surgical management of the condition. Knowledge of outcomes of patients traced by imaging and also management strategies based on the treatment approaches leads to low mortality among the affected patients. Objectives: The goal of this work is to analyze the results of the Abdominal aortic aneurysm patients through CT image data, as well as to investigate how surgical treatment can potentially influence patients’ life expectancy and job recovery. Study design: A cross-sectional study Duration and Place of Study: Department Of Vascular Surgery KTH hospital Peshawar from jan 2024 to June 2024 Methods: The case series involves a review of 150 patients with Abdominal aortic aneurysm between the years 2013 to 2023. Demographics, CT imaging characteristics of the aneurysm (size, location), surgery type (open repair, endovascular aneurysm repair), and postoperative results were analyzed. Mean and standard deviation to describe the two groups’ success rates of the intervention were calculated with p-value to test the results for significance. Results: Thus, endovascular aneurysm repair (EVAR) was performed in 95 patients, while open surgical repair in 55 patients out of 150 total patients. The aneurysmal diameter was mean 5.6 ± 1.2 cm in the patient population of this study The survival prediction after surgical interventions was significantly better in the EVAR group, p = 0.04. The overall complication rate was 12% with a corresponding standard deviation of 1.5%. Subsequent imaging revealed that in 87% of patients the status remained unchanged within 12 months. Conclusions: CT imaging is an essential modality in evaluating and assessing Abdominal aortic aneurysm ; surgery, including EVAR, has relatively low rates of failure, morbidity, and mortality. Prompt diagnosis and intervention have a directly proportional relationship with the eventual outcome of the disease. Keywords: abdominal aortic aneurysm, computed tomography, operative, endovascular repair

Assessing The Impact Of Personal Protective Equipment And Surgical Attire On Infection And Transmission Dynamics In Tertiary Care Hospital

Background: Abdominal aortic aneurysms are a severe vascular disease that is mainly asymptomatic until rupture occurs. CT imaging is therefore very important in evaluating Abdominal aortic aneurysm and in helping in the surgical management of the condition. Knowledge of outcomes of patients traced by imaging and also management strategies based on the treatment approaches leads to low mortality among the affected patients. Objectives: to analyze the results of the Abdominal aortic aneurysm patients through CT image data, as well as to investigate how surgical treatment can potentially influence patients’ life expectancy and job recovery. Study design: A cross-sectional study Duration and Place of Study: Allied Health Sciences, Superior University, Lahore form jan 2024 to June 2024 Methods: 150 patients with Abdominal aortic aneurysm between the years 2013 to 2023. Demographics, CT imaging characteristics of the aneurysm (size, location), surgery type (open repair, endovascular aneurysm repair), and postoperative results were analyzed. Mean and standard deviation to describe the two groups’ success rates of the intervention were calculated with p-value to test the results for significance. Results: Thus, endovascular aneurysm repair (EVAR) was performed in 95 patients, while open surgical repair in 55 patients out of 150 total patients. The aneurysmal diameter was mean 5.6 ± 1.2 cm in the patient population of this study The survival prediction after surgical interventions was significantly better in the EVAR group, p = 0.04. The overall complication rate was 12% with a corresponding standard deviation of 1.5%. Subsequent imaging revealed that in 87% of patients the status remained unchanged within 12 months. Conclusions: CT imaging is an essential modality in evaluating and assessing Abdominal aortic aneurysm ; surgery, including EVAR, has relatively low rates of failure, morbidity, and mortality. Prompt diagnosis and intervention have a directly proportional relationship with the eventual outcome of the disease. Keywords: abdominal aortic aneurysm, computed tomography, operative, endovascular repair

A COMPARATIVE CLINICAL STUDY TO EVALUATE THE EFFICACY OF DASHAMOOLA NIRUHA BASTI WITH BHADRADARVADI GANA KASHAYA BASTI IN GRIDHRASI VIS-A-VIS SCIATICA

Gridhrasi is defined as vata vyadhi characterised by radiating pain from lumbo-sacral region (spik-katipurva) through thigh, knee, calf and foot (uru, janu, jangha, pada). The disease Gridhrasi described in Ayurveda and Sciatica described in western medical textbooks have absolute similarity in their manifestation. Low back ache is one of the most common clinical symptoms experienced by substantial portion of the population.It can be conveniently concluded that these two represent the same disease.The estimated life time incidence of sciatica is around 13% -40% of total population. Annual incidence of an episode of sciatica ranges from 1%-5%. The high prevalence of sciatica varies considerably, ranging from 1.6% in general population to 40% in selected working population. Considering all these the present study was undertaken to evaluate the efficacy of dashamoola niruha basti with bhadradarvadi gana kashaya basti in gridhrasi. Objectives:To compare the efficacy of dashamoola niruha basti followed by moolakadi thaila as anuvasana basti with bhadradarvadi gana kashaya basti followed by anuvasanabasti with prasarini thaila in the management of Gridhrasi. Materials and Methods: Total 40 subjects with 20 in each group.The interventions wereas follows, Group ADashamoola niruha basti followed by moolakadithaila as anuvasana basti. Group B Niruha with bhadradarvadi gana kashaya basti followed by anuvasana basti with prasarini thaila (in yoga basti pattern) in the management of Gridhrasi.The data was collected on 0th day, after the intervention i.e. on 9th day and after the completion of follow-up period i.e. on 25th day. Result: Group A and Group B showed equal statistical significance with assessment parameters like Ruk, Stambha, SLR test, Bragards sign, Sciatica bothersome index scale value with the significance P value of 0.005. On comparison, between the groups there was non-significant results found. Hence, both the groups were effective in reducing the symptoms of Gridhrasi. The overall study revealed that the selected intervention has showed significant results in the management of Gridhrasi vis-a-vis Sciatica.

Evaluation of Salivary Glucose and Salivary Cortisol in Association with Periodontitis in People with Type II Diabetes: A Case-control Study.

The relationship between type II diabetes mellitus (DM) and periodontal disease (PD) has been discussed in recent years and may vary according to the patient's location, sex, age and family history. In view of this possible association between periodontitis and DM, this study aimed to evaluate salivary glucose and salivary cortisol levels with periodontitis (staging and degree) in people with type II diabetes compared to non-diabetic individuals. This was a case-control study, with 60 participants divided into two groups: DM2- people with type II diabetes (n=30) and NDM- non-diabetic individuals (n=30). For both, a clinical form and periogram were filled out, and blood samples (glycemia, glycated hemoglobin, and cortisol) and saliva (glucose and cortisol) were collected. The diagnosis of periodontitis was 100% in the DM2 group and 80% in the NDM group. As for staging and degree, in the DM2 group, 70% of the participants were in stage IV and 86.67% were in grade C, while in the NDM group, 58.3% of the participants were in stage I and 70.8% were in grade A. Significant differences were observed for the following variables: bleeding to probing and clinical attachment level. The laboratory data presented significant results regarding serum glucose, salivary glucose, and glycated hemoglobin. Regarding the influence of salivary glucose and cortisol on periodontal status (staging and degree), these had higher means in the DM2 group when compared to the NDM group. An association of salivary glucose and cortisol levels with the periodontal condition presented by type II diabetic individuals compared to non-diabetic individuals is suggested.

Adaptive Autonomic and Neuroplastic Control in Diabetic Neuropathy: A Narrative Review.

Type 2 diabetes mellitus (T2DM) is a worldwide socioeconomic burden, and is accompanied by a variety of metabolic disorders, as well as nerve dysfunction referred to as diabetic neuropathy (DN). Despite a tremendous body of research, the pathogenesis of DN remains largely elusive. Currently, two schools of thought exist regarding the pathogenesis of diabetic neuropathy: a) mitochondrial-induced toxicity, and b) microvascular damage. Both mechanisms signify DN as an intractable disease and, as a consequence, therapeutic approaches treat symptoms with limited efficacy and risk of side effects. Here, we propose that the human body exclusively employs mechanisms of adaptation to protect itself during an adverse event. For this purpose, two control systems are defined, namely the autonomic and the neural control systems. The autonomic control system responds via inflammatory and immune responses, while the neural control system regulates neural signaling, via plastic adaptation. Both systems are proposed to regulate a network of temporal and causative connections which unravel the complex nature of diabetic complications. A significant result of this approach infers that both systems make DN reversible, thus opening the door to novel therapeutic applications.

Technical assessment of shear bond strength at ceramo-alloy interface after various surface treatment combinations and application of metal bonding agent.

Bonding between metal and ceramic is one of the most important aspects of a successful prosthesis. Various methods have been recommended for preparing the metal surface to enhance the bond between metal and ceramic including the use of a metal bonding agent. This study aims to evaluate and compare the shear bond strength of the metal-ceramic (M-C) interface after combinations of various surface treatments including the application of a metal bonding agent. 40 Ni-Cr alloy specimens were made and divided into 4 groups of 10 each based on the combination of surface treatments. Sandblasting, surface grinding, and Oxidation heat treatment (OHT) were performed on specimens from Group 1 (Control). In addition, Group 2 specimens received ultrasonic cleaning, Group 3 steam cleaning, and Group 4 metal bonding agent application. Following surface treatments on all specimens, porcelain build-up was performed, and shear bond strength was tested in a Digital Universal testing machine. The statistical tests used were independent t-test and ANOVA. Results revealed that Group 4 specimens had the highest mean value of shear bond strength of 39.087 MPa while Group 3 specimens showed the least mean shear bond strength of 18.154 MPa with highly statistically significant results (p< 0.001). The surface treatments and application of bonding agent to metal prior to porcelain application resulted in increased shear bond strength of the metal-ceramic interface.

Examination of the role of the rotating nursing department in the training of nursing staff based on SWOT analysis.

The implementation of the rotation system in the Chinese medical industry has achieved significant results. The present study aims to 1) explore the strengths, weaknesses, opportunities and challenges of rotational nursing department implementation and 2) provide references for developing nursing staff's competencies in leadership, performance evaluation, quality of care, communication in relationships and human resources. A total of 16 rotational nursing department staff members from a tertiary tuberculosis specialist hospital in Beijing were interviewed, and the interview data were analysed using a strengths, weaknesses, opportunities and threats analysis and class analysis. The advantages of the rotational nursing department included: (1) stimulating the nursing staff's enthusiasm and creativity; (2) strengthening the communication and collaboration between departments; (3) improving the detailed management of nursing quality; and (4) enhancing the nursing staff's comprehensive abilities. The disadvantages included: (1) the design of the rotation programme focusing on practice; (2) a lack of personalisation; and (3) imperfect performance assessment of the rotating staff. Opportunities included: (1) deepening the connotation of nursing job management and (2) developing the construction of nursing discipline and the need for personal career development and value realisation. Threats included the lack of a sound rotation management model to draw on. A rotational nursing department is conducive to enhancing the competence of nursing staff in management positions and providing new ideas for hospitals to select and train nursing management talents. By taking full advantage of the benefits of vertical nursing management, designing personalised rotation training programmes, building a diversified learning and training platform and developing a positive performance incentive mechanism is recommended to fully engage the role of rotation in nursing management talent training.

Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data.

Despite significant results achieved by Contrastive Language-Image Pretraining (CLIP) in zero-shot image recognition, limited effort has been made exploring its potential for zero-shot video recognition. This paper presents Open-VCLIP++, a simple yet effective framework that adapts CLIP to a strong zero-shot video classifier, capable of identifying novel actions and events during testing. Open-VCLIP++ minimally modifies CLIP to capture spatial-temporal relationships in videos, thereby creating a specialized video classifier while striving for generalization. We formally demonstrate that training Open-VCLIP++ is tantamount to continual learning with zero historical data. To address this problem, we introduce Interpolated Weight Optimization, a technique that leverages the advantages of weight interpolation during both training and testing. Furthermore, we build upon large language models to produce fine-grained video descriptions. These detailed descriptions are further aligned with video features, facilitating a better transfer of CLIP to the video domain. Our approach is evaluated on three widely used action recognition datasets, following a variety of zero-shot evaluation protocols. The results demonstrate that our method surpasses existing state-of-the-art techniques by significant margins. Specifically, we achieve zero-shot accuracy scores of 88.1%, 58.7%, and 81.2% on UCF, HMDB, and Kinetics-600 datasets respectively, outpacing the best-performing alternative methods by 8.5%, 8.2%, and 12.3%. We also evaluate our approach on the MSR-VTT video-text retrieval dataset, where it delivers competitive video-to-text and text-to-video retrieval performance, while utilizing substantially less fine-tuning data compared to other methods.

Navigated intraoperative ultrasound in neuro-oncology: volumetric accuracy and correlation with high-field MRI.

The use of intraoperative techniques to detect residual tumors has recently become increasingly important. Intraoperative MRI has long been considered the gold standard; however, it is not widely used because of high equipment costs and long acquisition times. Consequently, real-time intraoperative ultrasound (ioUS), which is much less expensive than MRI, has gained popularity. The aim of the present study was to evaluate the capacity of ioUS to accurately determine the primary tumor volume and detect residual tumors. A prospective study of adult patients who underwent surgery for intra-axial brain tumors between November 2017 and October 2020 was performed. Navigated intraoperative ultrasound (nioUS) of the brain was used to guide tumor resection and to detect the presence of residual disease. Both convex (5-8 MHz) and linear array (6-13 MHz) probes were used. Tumor volume and residual disease were measured with nioUS and compared with MR images. A linear regression model based on a machine learning pipeline and a Bland-Altman analysis were used to assess the accuracy of nioUS versus MRI. Eighty patients (35 females and 45 males) were included. The mean age was 58 years (range 25-80 years). A total of 88 lesions were evaluated; there were 64 (73%) gliomas, 19 (21.6%) metastases, and 5 (5.7%) other tumors, mostly located in the frontal (41%) and temporal (27%) lobes. Most of the tumors (75%) were perfectly visible on ioUS (grade 3, Mair grading system), except for those located in the insular lobe (grade 2). The regression model showed a nearly perfect correlation (R2 = 0.97, p < 0.001) between preoperative tumor volumes from both MRI and nioUS. Ultrasonographic visibility significantly influenced this correlation, which was stronger for highly visible (grade 3) tumors (p = 0.01). For residual tumors, the correlation between postoperative MRI and nioUS was weaker (R2 = 0.78, p < 0.001) but statistically significant. The Bland-Altman analysis showed minimal bias between the two techniques for pre- and postoperative scenarios, with statistically significant results for the preoperative concordance. The authors' findings show that most brain tumors are well delineated by nioUS and almost perfectly correlated with MRI-based measurements both pre- and postoperatively. These data support the hypothesis that nioUS is a reliable intraoperative technique that can be used for real-time monitoring of brain tumor resections and to perform volumetric analysis of residual disease.

Pluridisciplinary approaches in global postural rehabilitation

The global postural imbalances relationship is frequently encountered in recent medical practice, requiring multidisciplinary approaches to bring patients to function as close as possible according to the physiological limit. About half of the world’s population experi-ences pain and dysfunction induced by postural imbalances during their lifetime. This re-port aimed to assess the nonpainfull and currative effect of the electropuncture technique complemented by massage and active postural kinetotherapy of global posture imbalances and acute or chronical pain at various levels. This research provide an insight into the re-port of evidence available for the analgesic uses of TENS in postural defects. Correlations regarding imbalances at various levels was found in various studies regarding analyze or diagnosis, without addressing the non-invasive multidisciplinary treatment. In these stud-ies, we are hoping to raise the non-invasive reabilitation treatment and increase their use in pathologies with involves global postural imbalances. The discomfort and pain experi-enced by people with generalized postural disorder on a daily basis can have a negative impact on quality of life and, if left untreated, can lead to significant worsening of the con-dition over time. Global rehabilitation with non-invasive and non-pharmacological meth-ods, without adverse effects, including electropuncture (TENS) applied to the refferal points in conjunction with proprioceptive kinetotherapy techniques, massage and psycho-therapy is the path to the success of occlusion-postural rehabilitation with significant re-sults on painful suffering global postural imbalances. Keywords: global posture, postural imbalance, correlation, rehabilitation, multidisciplinary, electropuncture

Language use and attitudes of prospective teachers: a comparison of the Basque and Friulian multilingual contexts

ABSTRACT Since educators play a decisive role in the formation of language attitudes, this study analyses perceived competence, habits of language use and attitudes towards three languages in contact harboured by prospective teachers. Our research replicates a 20-year-old study and is comparative, as it parallels two European regions: the Basque Autonomous Community in Spain, and Friuli Venezia Giulia in Italy. The sample was made up of 553 participants. Quantitative data were collected by means of the original questionnaire. Significant results were obtained, with strong effect sizes. As for the minority language, our results show that while Basque is mainly linked with the educational domain and tends to be used more often with younger people, the situation is different for Friulian, which is virtually absent from the educational domain and tends to be used in exchanges with older people. The status of majority language is especially true for Italian in FVG, which, in addition to being the main language in education, is predominantly used by future teachers in all domains of their daily life. As for English, our findings seem to indicate that its general position is becoming stronger, and this trend may be maintained in both contexts in the future.

SAVI-based animated video for seismic material

Learning media supports effective and efficient learning. Meanwhile, seismic learning is deemed as a challenging geography course, thereby, requiring animated video as a medium to visualize abstract concepts into concrete ones. Thus, this study formulates animated learning videos using the SAVI approach for seismic material. It also assesses the effect of animated video media on student learning outcomes. The animation video was constructed using the ADDIE research model and tried out in a pre-experimental pretest-posttest type one group design. The trial was conducted involving 27 tenth grade students from Sunan Ampel Islamic Senior High School. The results of the validity test from the material expert indicate an 88 percent agreement rate, while the media expert shows an 87.3 percent agreement rate. The teacher's response questionnaire received a score of 97 percent, while the student responses received a score of 88%. After attending learning with animated video, the average student score increased from 51.31 to 83.77 in the pretest and posttest results. The data obtained from the normality test showed a normal distribution, while the t-test suggested significant results with sig. (2-tailed) 0.000 lees than 0.05. These results imply a significant difference in students' skills before and after the use of animated video media. In summary, the developed media is suitable for seismic learning, offering a positive impact on student learning outcomes.

Exploring linguistic signage in higher education: An empirical study of a linguistically diverse context

This study offers a comprehensive examination of the linguistic landscape in a nonmetropolitan university, focusing on the dominant language used in university signage. The study primarily delves into the multilingual characteristics and nature of Western Mindanao State University, situated in a linguistically-diverse environment. The study employed analytical categories, which was utilized to serve as basis in selecting and gathering data from various signages across the university, to ensure the accuracy of the data collection. The findings of the study indicated that the university contains five (5) languages that make its linguistic landscape, specifically: English (95.51%), Filipino (7.81%), Chavacano (3.07%), Tausug (1.28%), and Bisaya (0.64%). The data was analyzed using the content analysis to accurately interpret the taken photographs in the university. The study also uncovers the inequality of the number of signages, wherein majority of the signages are monolingual nature, and only limited on the bilingual and multilingual signs. The investigation also revealed a significant result that English is the dominant language used on signages despite the locale’s diverse linguistic and cultural background. The major findings of this study portray that Western Mindanao State University employs both official and non-official signages throughout the campus and in terms of linguistic diversity, local languages are not entirely prevalent and observable on the signages across the entire campus. Consequently, despite the university’s focus towards internationalization and global excellence, there is observable scarcity in multilingual signages. It is imperative to acknowledge the value of multilingual signages, not only for the purpose of communication, but for the preservation of local languages, that are crucial for cultural and ethnic representations.

Borderline Bireylerde Kendine Zarar Verme Davranışı ve İntihar Girişimine Yönelik Psikolojik Müdahaleler: Sistematik Derleme

Self-harm behaviour and suicide attempts are considered maladaptive coping mechanisms by individuals with a diagnosis of borderline personality disorder (BPD). Numerous studies have demonstrated that individuals with BPD are at a heightened risk for self-harm behaviour and suicide. Therefore, there is a need for intervention efforts aimed at reducing self-harm and suicide attempts in this population by promoting more functional coping strategies. No systematic review has been conducted to explore the effectiveness of such interventions. A systematic review was performed to identify randomized controlled trials of interventions to reduce self-harm and suicide attempts among individuals with BPD, published between 2012 and 2022. PsycARTICLES, PubMed, Web of Science, Science Direct, and Taylor &amp; Francis databases were examined in the review. A total of 6,760 studies were initially screened, only 13 were selected for review based on the inclusion and exclusion criteria. The results indicated that the standard dialectical behaviour therapy protocol, with the addition of psychological intervention components such as skills training, exposure and acceptance, statistically significantly increased recovery. Statistically significant results have been obtained from various psychotherapeutic intervention groups such as schema therapy, cognitive behavioural therapy and emotion regulation therapy However, it was noted that existing protocols might be inadequate in preventing relapse and addressing potential negative outcomes such as premature termination of therapy.

Investigation of Radon, Total Electron Content and Linear and Nonlinear Variations of Meteorological Variables Due to Earthquakes: ARIMA and Monte Carlo Modelling

An Integrated Autoregressive Moving Average (ARIMA) - Monte Carlo Simulation (MCS) is proposed to analyze and model the anomalies of atmospheric and ground gases by an earthquake along the North Anatolian Fault Zone (Türkiye). Earthquakes, Soil radon gas and Total Electron Content (TEC) showed simultaneous anomalies. There are positive relationships between these three parameters. Also, positive relations between Rn, meteorology, and atmosphere are detected. The proposed ARIMA model and MCS for the Rn-TEC-Earthquake relationships of the measured data gave statistically significant results. This model and simulation showed statistically significant changes in the effects of microearthquakes, which are more difficult to detect than large earthquakes, especially on the ionospheric TEC.

Effect of vitamin D3 supplementation on blood parameters and liver gene expression in female rats.

To better understand the molecular mechanism responsible for the therapeutic potential of vitamin D, we conducted an analysis of the liver transcriptomes of adult female rats. Adult female rats (n = 18) were divided into three groups, receiving different doses of vitamin D: group I, 0; group II, 1000 U/kg; and group III, 5000 U/kg. Growth, body weight, the weight of main organs, blood haematological and biochemical parameters were evaluated. Gene expression in the liver were analyzed using RNA-seq and qPCR techniques. We observed a lower platelet count (p < 0,008) and a significantly greater (p < 0.02) number of WBCs in rats supplemented with 1000 U/kg than in rats from group III (5000 U/kg). Moreover, we noted a trend (p < 0.06) in total cholesterol concentration, suggesting a linear decrease with increasing doses of vitamin D. RNA-seq analysis did not reveal any differentially expressed genes with FDR < 0.05. However, GSEA revealed significant activation of a number of processes and pathways, including: "metallothionein, and TspO/MBR family", and "negative regulation of tumor necrosis factor production". qPCR analysis revealed significant upregulation of the Mt1, Mt2 and Orm1 genes in animals receiving high doses of vitamin D (p < 0.025, p < 0.025, and p < 0009, respectively). Moreover, Srebp2 and Insig2 were significantly lower in both experimental groups than in the control group (p < 0.003 and p < 0.036, respectively). Our results support the anti-inflammatory, anitioxidant and anticholesterologenic potential of vitamin D but suggest that high doses of vitamin D are needed to obtain significant results in this regard.

Genetics of gambling disorder and related phenotypes: The potential uses of polygenic and multifactorial risk models to enable early detection and improve clinical outcomes.

Gambling Disorder (GD) is an impactful behavioural addiction for which there appear to be underpinning genetic contributors. Twin studies show significant GD heritability results and intergenerational transmission show high rates of transmission. Recent developments in polygenic and multifactorial risk prediction modelling provide promising opportunities to enable early identification and intervention for at risk individuals. People with GD often have significant delays in diagnosis and subsequent help-seeking that can compromise their recovery. In this paper we advocate for more research into the utility of polygenic and multifactorial risk modelling in GD research and treatment programs and rigorous evaluation of its costs and benefits.

Frequency and spatial based multi-layer context network (FSCNet) for remote sensing scene classification

Remote Sensing Scene Classification (RSSC) is an important and challenging research topic due to the variety of land cover sizes and spatial combinations, as well as significant interclass similarity and intraclass variability. Currently, convolutional neural network (CNN)-based methods have been widely used in RSSC tasks with significant results. However, CNNs lack the ability to obtain long-term correlations. Transformer addressed this problem, thanks to the global receptive field of multi-head self-attention (MSA). Nevertheless, the vanilla transformer also needs further improvement to accommodate the diverse in type and scale of objects in RS scenes. In addition, the existing RSSC methods either use the last layer features, which is not conducive to process multi-scale remote sensing images, or directly fuse the multi-layer features, which will bring redundant or mutually exclusive information. To address the above issues, a novel RSSC framework, named frequency and spatial based multi-layer attention network (FSCNet) for remote sensing scene classification is proposed in this article. First, to fully extract the pyramid multi resolution features of CNN, a cross resolution injection model (CRIM) is proposed. Second, to generate better understand of the multilevel features, a frequency and spatial MLP (FS-MLP) is designed. Third, in order to aggregate contextual relations among multi-layer features, a multi-layer context align attention (MCAA) is adopted. The final classification is integration of top-layer feature and aggregated multi-layer feature. The experiment results on three well-known RS scene classification datasets (UCM, AID, and NWPU) prove the effectiveness of FSCNet and it outperforms many state-of-the-art methods.

Технологический суверенитет России: теоретико-правовые основы, механизмы достижения

Ensuring state sovereignty, and above all, technological sovereignty, is in modern conditions a mandatory component of the innovative development of industries and ensuring a balance in scientific, technical and innovative development of the national economy. Domestic science is making its contribution to the study of these issues.&#x0D; Scientific publications present significant results of research into problems of innovative development. But there are still gaps in scientific knowledge on issues of theory, legal framework, and mechanisms for regulating relations in the field of the influence of technological sovereignty on the innovative development of industries and the national economy as a whole.&#x0D; The objectives of this study were to analyze and evaluate the accumulated knowledge in the field of the theory of technological sovereignty, its legal framework and developed regulatory mechanisms. The research methodology was based on the principles of scientific knowledge of the phenomena of social life, such as the systems approach, the principle of determinism, the principle of historicism, etc.&#x0D; As the results of the study showed, it is necessary to intensify work on the formation of the theoretical and methodological foundations of technological sovereignty. The proposal to integrate disparate regulatory legal provisions on technological sovereignty in a single act is substantiated. The incompleteness of the formation of mechanisms for achieving technological sovereignty and their fragmentation are revealed. The author's conclusions and proposals are aimed at increasing the level of scientific, methodological and legal support for activities to achieve technological sovereignty as a priority mechanism for technological development.

Effectiveness of Occupational Therapy Based Sleep Intervention on Sleep Quality and Its Impact on Quality of Life in Patients with Parkinson’s Disease

Parkinson’s disease is a degenerative disease which has motor as well as non-motor symptoms. Most of the times non-motor symptoms are neglected in traditional management by the healthcare professionals. But these symptoms add up to the suffering of the person. Sleep disturbances are one of the commonest non-motor symptoms seen in Parkinson’s disease. These symptoms affect daily life of an individual. Thus, Occupational therapy management is essential in improving sleep quality along with management of other symptoms. The aim of this study is to evaluate the effectiveness of occupational therapy based sleep intervention in improving sleep quality in Parkinson’s disease. Also, this study aimed at evaluating its impact on quality of life. The study included 37 patients. The intervention program of four weeks was provided to all which was tailored made as per patients’ evaluation. The results showed statistically significant result in Pittsburgh sleep quality index and WHO Quality of Life BREF scale. This study highlighted the need for customized sleep program and demonstrated the effectiveness of occupational therapy based sleep intervention. Keywords: sleep, sleep quality, occupational therapy, Parkinson’s disease, neurorehabilitation, quality of life.