The subjective experience of consciousness, a cornerstone of human existence, is profoundly disrupted in disorders of consciousness (DOC) arising from severe brain injuries, spanning-states from coma to the minimally conscious state. A significant challenge in clinical practice is the phenomenon of covert consciousness, in which individuals may retain awareness despite the absence of overt behavioral responsiveness. Diagnosis based solely on observable behavior is inherently limited by factors such as co-occurring motor impairments, the fluctuating nature of consciousness, and subjective interpretation, potentially leading to misclassification. To overcome these limitations, neuroscientific methodologies have advanced significantly. To address these limitations, neuroscientific methods have advanced considerably. Functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) provide objective evidence of preserved brain activity and cognitive processing, enabling detection of willful modulation and offering prognostic insight. Electrophysiological techniques—including electroencephalography (EEG), event-related potentials (ERPs), transcranial magnetic stimulation combined with EEG (TMS-EEG), and advanced downstate analysis—further reveal dynamic neural patterns indicative of residual awareness. The detection of covert consciousness has profound ethical, clinical, and societal implications. It necessitates a re-examination of patient rights, end-of-life decision-making, the use of brain-computer interfaces, and societal conceptions of personhood. This evolving understanding mandates a shift towards integrating objective neuroscientific assessments with compassionate, person-centered care, aiming to preserve dignity and navigate the complex ethical landscape of severe brain injury.

Mostafa eissa

Using off-label drugs in obstetric-gynecology patients requires caution because of the high risk of pregnancy. Although there is still debate, data profiling its use in clinical practice is lacking. This study aims to observe the use of off-label drugs in obstetrics and gynecology patients in private hospitals, especially the pill Misoprostol. This study used a descriptive observational approach to hospital medical record data. Retrieval of research data retrospectively at Bunda General Hospital (X Hospital) for July 2017 – December 2017 and Sinar Kasih Hospital (Y Hospital) for January 2018 – December 2018. The number of samples was determined using the Slovin formula, with a systematic random sampling technique at X Hospital and total sampling at Y Hospital. The samples were 220 RM at X 130 Hospital and Y 90 Hospital. The research was conducted in the period January 2019 - March 2019. The results were analyzed univariately using several related references. The results showed 26.92% of misoprostol off-label use in X Hospital and 4% in Y Hospital. The off-label drug found was Misoprostol which belongs to the category of off-label indications (Missed Abortion, Incomplete Abortion, Blighted Ovum, and Induction of labor in cases of Serotinus, KPD, and IUFD), off-label doses (50 µg, 100 µg, and 400 µg), and off-label routes of administration (sublingual and vaginal). ​

Much ilham novalisa aji wibowo

OBJECTIVE Study was designed to assess sexual experience, thoughts, and problems of women who have been treated with pelvic radiotherapy for cervical cancer. METHODS Seventeen sexually active patients who received minimum 3-month course of pelvic radiotherapy between March 20, 2014 and June 20, 2014 gave consent to participate in the study. Sexual life before cancer diagnosis and effects of treatment on sexual life were assessed with semi-configured score scale created by research group. RESULTS Main diagnostic finding was post-coital and post-menopausal bleeding, and vaginal stricture, vaginal dryness, and decreased sexual desire in partner or patient were primary sexual problems reported. CONCLUSION Health professionals should be aware of these effects and should encourage patients to express their problems and provide effective, individual counsel to each patient.

Reyhan aydin doğan

Pendidikan agama Islam sebagai upaya mengembangkan, mendorong serta membimbing peserta didik hidup lebih dinamis dengan berdasarkan nilai-nilai agama islam dan terbentuk pribadi peserta didik insane kamil. Rumusan dalam dalam peneltian ini: 1) Bagaimana peran PAI dalam pembinaan kesehatan mental siswa di SDN Sekarputih 1 Tegalampel Bondowoso? 2) Bagaimana peran PAI dalam pembinaan kesehatan pikiran/intelektual siswa di SDN Sekarputih 1 Tegalampel Bondowoso? Metode penelitian ini menggunakan pendekatan kualitatif deskriptif dan jenis penelitian studi kasus. Metode pengumpulan data dengan metode observasi, metode wawancara dan metode dokumentasi. Sedangkan analisis data menggunakan model analisis interaktif Milles, Huberman dan Saldana dengan tiga Langkah dalam proses analisis data yaitu: kondensasi data, penyajian data dan penarikan kesimpulan. Untuk memeriksa keabsahan data ini, menggunakan tehnik triangulasi yaitu triangulasi tehnik, triangulasi metode dan triangulasi data. Berdasarkan hasil penelitian ini dapat disimpulkan: (1) Peran PAI dalam pembinaan kesehatan mental siswa di SDN Sekarputih 1 Tegalampel Bondowoso yaitu: (a) Agama sebagai pembimbing dalam kehidupan peserta didik. (b) Agama sebagai penolong dalam menghadapi kesulitan untuk memecahakan masalah yang di alami siswa. (c) Agama sebagai penentram bathin. (2) Peran PAI dalam pembinaan kesehatan intelektual/kesehatan pikiran di SDN Sekarputih 1 Tegalampel Bondowoso yaitu: (a) Guru membimbing peserta didik secara akademis di dalam sekolah maupun di luar sekolah. (b) Kajian-kajian keagamaan oleh guru PAI sebelum atau sesudah mata pelajaran dimulai. (c) Membudayakan siswa untuh silaturrahim kerumah guru. (d) Bimbingan secara intelektual kepada dengan teori-teori keagamaan yang memadai, agar siswa tidak sekuler dalam berperilaku sehari-hari.

Educare: journal of primary education

The present study focused on analysing the impact of ‘Make in India’ campaign on FDI inflows in country. The research period is divided in two parts one is pre ‘MII’ & another is post ‘MII’ period. The analysis of ‘Make in India’ campaign is done to identify the scope of the campaign & methodology of working of various allied departments monitoring campaign. The present research work also attempted to take overview of various policy reforms initiated by Government of India to promote the FDI as well domestic investment in 25 sectors shortlisted under MII. The FDI inflows statistics reveals that, the post MII period is showing the highest growth in FDI equity inflows as compare to same period i.e. 2009- 2014. The MII initiative is one of the reason for the jump in FDI inflows. The overview of policy reforms shows that GOI through DIPP attempted to open almost all sectors for 100% FDI through automatic route. Government has provided multiple incentives for Foreign Investors to establish their manufacturing facilities in country but very negligible response has been seen in the nature of FDI equity inflows in the same period. Further results of study reveals that multiple ‘MOU’s have been signed by States & Central Governments, but they yet not converted in actual investments. The major reasons behind the same is lack of SWOT analysis through Governments before inviting the foreign investors. As well lack of basic infrastructure, land, lack of skilled manpower, cheap & un interrupted power supply to MIDC’s & SEZ’s is yet not successfully provided, lower rankings in Ease Of Doing Business (EODB), Global Manufacturing Competitiveness Index (GMCI) is also cause of concern & tumbling block in the success of MII mission..

Anshuman vijay magar

The use of spectroscopic analysis, particularly UV spectrophotometer, is a simple and essential technique for bulk drug estimation, formulation studies, and compatibility assessments of drugs with various excipients. In the pharmaceutical industry, various analytical instruments, including Fourier transform infrared spectroscopy (FTIR), are employed for investigating drug-excipient interactions that can impact the stability of active pharmaceutical ingredients. This study aimed to develop a UV spectrophotometric method for the analysis of Pioglitazone hydrochloride in phosphate buffer (pH 7.4) and methanolic solution, assessing its linearity and compliance with Beer's Law. Furthermore, we aimed to use FTIR to characterize potential interactions between Pioglitazone and common pharmaceutical excipients, such as Guar Gum, Chitosan, and Sodium Alginate. Standard solutions of Pioglitazone were prepared in phosphate buffer (pH 7.4) and methanol. UV spectrophotometer was conducted to determine the maximum absorption wavelength. Calibration curves were constructed to evaluate linearity and adherence to Beer's Law. FTIR analyses were performed to investigate drug-excipient interactions by examining the functional groups. In phosphate buffer (pH 7.4), the maximum absorption wavelength for Pioglitazone hydrochloride was 268 nm. The calibration curve for Pioglitazone in phosphate buffer (pH 7.4) demonstrated linearity in the concentration range of 1–20 μg/ml, with a correlation coefficient of 0.998. In methanol, the maximum absorption wavelength for Pioglitazone hydrochloride was found to be 272 nm. The calibration curve in methanol exhibited linearity in the range of 1–20 μg/ml, with a correlation coefficient of 0.999. FTIR analysis revealed potential drug-excipient interactions, particularly in the case of Guar Gum, Chitosan, and Sodium Alginate, suggesting the formation of stable hydrogen bonds. The developed UV spectrophotometric method for Pioglitazone analysis is a reliable, cost- effective, and reproducible approach, making it a valuable tool for drug development and quality control. Additionally, the FTIR characterization confirmed interactions between Pioglitazone and common pharmaceutical excipients, enhancing our understanding of formulation compatibility,

Archana mehrotra

The experiments were conducted at CCS HAU, Hisar (Haryana) to study the morpho physico-chemical components of resistance to pod borer, Helicoverpa armigera in pigeonpea with different sowing dates. In different four sowing dates, the minimum pod infestation (1.70%) was recorded in (D4) 3rd week of July sown crop, whereas, it was observed maximum (4.54%) in (D2) 1st week of July sown crop. In different pigeonpea varieties, the minimum mean pod infestation (2.45%) was recorded in AL-201, whereas, the maximum mean pod infestation (3.72%) was recorded in Pusa-992. The glandular (type A) and non-glandular (type B) trichomes on pods of top and middle canopy of the plant and pod wall thickness were associated with resistance to H. armigera, whereas, the non-glandular lengthy (type C) trichomes and pod length were associated with susceptibility to this insect. The expression of resistance to H. armigera was also associated with the high amount of fat, phenol and tannin content. Crude protein and total soluble sugar content were responsible for higher pod infestation.

Dr. babu lal jat

eveloping automated systems with a reasonable cost for long-term care for elders is a promising research direction. Such smart systems are based on realizing activities of daily living (ADLs) to enable aging in place while preserving the quality of life of all inhabitants in smart homes. One of the research directions is based on localizing items used by elders to monitor their activities with fine-grained details of the progress. In this paper, we shed the light on this issue by presenting an approach for localizing items in smart homes. The presented method is based on applying machine learning algorithms to Radio Frequency IDentification (RFID) tags readings. Our approach achieves the required task through two stages. The first stage detects in which room the selected object is located. Then, the second one determines the exact position of the selected object inside the detected room. Additionally, we present an efficient approach based on gradient boosted decision trees for detecting the location of the selected object in a real-world smart home. Moreover, we employ some techniques of over- and under- sampling with data clustering for improving the performance of the presented techniques. Many experiments are conducted in this work to evaluate the performance of the presented approach for localizing objects in a real smart home. The results of the experiments have shown that our approach provides remarkable performance.

Shadi abudalfa

Background Worldwide, breast cancer (BC) is the most frequently discovered tumor in women. Breast self-examination (BSE) is a helpful screening method that gives women more control over their bodies by educating them about the structures of their breasts and assisting in the early detection of any developing breast abnormalities. The purpose of this research was to assess Palestinian girls' degree of BSE awareness and practice. Method A self-administered questionnaire was used to gauge participants' knowledge about BC and associated topics. Through an online survey, all girls above the age of 20 are encouraged to take part in the study. Female university students at academic levels I, II, III, and IV in Palestine were also invited to participate in the study by way of an online survey. Results The study included 467 female participants, with 69% of the individuals being single. The majority of females (68.7%) scored poorly on knowledge of BC disease (possible risk, methods of detection, methods of diagnosis, methods of treatment, signs and symptoms, information about mammography, and other knowledge questions), whereas only 31.7% scored well. Conclusion BC, which is thought to be the most common malignant development among them and the second leading cause of cancer mortality, is one of the issues that women in the West Bank face. Screening methods are crucial for the early detection of BC and for lowering disease-related morbidity and mortality. It has been advised that starting at age 20, every woman should take the BSE.

Mohamad banat

The result of this study showed that the growth performance of the two varieties of amaranth were greatly reduced, in terms of number of leaves per plant in the saline treated plant exposed to the highest saline concentration compared to the control. Amaranthus cruentus had more number of leaves (6.63) than Amaranthus hybridus (5.67) and Amaranthus hybridus had higher survival rate than Amranthus cruentus(1.83). Although both test plant varieties responded to varying saline concentrations in various ways, both tends to show similar responds. Also, the number of days to germination increases with increased salinity concentrations the two amaranth varieties was both adversely affected by higher saline concentrations, where increased salinity concentrations caused reduction in shoot length Also, the leave breadth was better in the control and the plants with lower amounts of NaCl concentration(0.025 and 0.05), this implies that Amaranthus hybridus and Amaranthus cruenthus tolerate moderate salinity levels, while the plants with higher salinity concentrations (0.075,0.01,0.15) had leave breadth that were small, and eventually died because of high amounts of salt.

Barka peter

India's hotel and hospitality industry occupancy decreased significantly in the first quarter of 2020, as the outbreak of COVID-19 affects different segments of the market. The outbreak of the novel coronavirus (COVID-19) has inflicted a blow on industries around the world, but maybe none as devastating as hospitality and travel. Depending on the length of the pandemic, companies across the industry adjusted growth forecasts for 2020, estimated profits to be conservatively 40-50 percent lower than expected before the outbreak. The effect on hospitality demand is greater than many other sectors, but even among hotels, air and cruise ships, and restaurants it is varied. Hotels and airlines operate at half capacity, with both business and leisure travelers canceling scheduled trips and not arranging any for the near future.The present article aims to study some novel practices for the survival of hospitality industries once the lockdown is over.

Ketan chande

Currently, the use of internet-connected applications for storage by different organizations have rapidly increased with the vast need to store data, cybercrimes are also increasing and have affected large organizations and countries as a whole with highly sensitive information, countries like the United States of America, United Kingdom and Nigeria. Organizations generate a lot of information with the help of digitalization, these highly classified information are now stored in databases via the use of computer networks. Thus, allowing for attacks by cybercriminals and state-sponsored agents. Therefore, these organizations and countries spend more resources analyzing cybercrimes instead of preventing and detecting cybercrimes. The use of network forensics plays an important role in investigating cybercrimes; this is because most cybercrimes are committed via computer networks. This paper proposes a new approach to analyzing digital evidence in Nigeria using a proactive method of forensics with the help of deep learning algorithms - Convolutional Neural Networks (CNN) to proactively classify malicious packets from genuine packets and log them as they occur.

Dr. chandrashekhar uppin

A major hallmark of Parkinson's disease is loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc). The pathophysiological mechanisms causing this relatively selective neurodegeneration are poorly understood, and thus experimental systems allowing to study dopaminergic neuron dysfunction are needed. Induced pluripotent stem cells (iPSCs) differentiated toward a dopaminergic neuronal phenotype offer a valuable source to generate human dopaminergic neurons. However, currently available protocols result in a highly variable yield of dopaminergic neurons depending on the source of hiPSCs. We have now developed a protocol based on HBA promoter-driven transient expression of transcription factors by means of adeno-associated viral (AAV) vectors, that allowed to generate very consistent numbers of dopaminergic neurons from four different human iPSC lines. We also demonstrate that AAV vectors expressing reporter genes from a neuron-specific hSyn1 promoter can serve as surrogate markers for maturation of hiPSC-derived dopaminergic neurons. Dopaminergic neurons differentiated by transcription factor expression showed aggravated neurodegeneration through α-synuclein overexpression, but were not sensitive to γ-synuclein overexpression, suggesting that these neurons are well suited to study neurodegeneration in the context of Parkinson’s disease.

Sameehan mahajani

The present review shares updated data on the botany, distribution, traditional medicinal uses, phytochemistry and pharmacology of Macrotyloma uniflorum (Lam.) Verdc. All provided information was obtained through Google Scholar, Pubmed, SciFinder, Scirus, Web of Science and a library search.

Dr. salman ahmed

Before the start of the SARS-CoV-2 (COVID-19) pandemic, the whole environment around us had been deemed very toxic to breathe in due to the amount of greenhouse gases that had been emitted over the centuries. The Earth faced rising temperatures, which in turn led to the melting of glaciers and rising of sea levels. Environmental degradation was happening fast due to the depletion of resources such as air, water and soil. But after the coronavirus lockdown (Talabandi) commenced, there have been changes in the environment. The lockdown still has a huge impact on people in India too. The halt of industrial production and traffic resulted in cleaner air and rivers. In India the first phase of the nationwide lockdown that began on March 24 followed by enforcement of a series of regulations had some evidences that the COVID-19 curve is flattening in the country's COVID-19 affected regions. There was a good chance Prime Minister Narendra Modi extended the lockdown (Talabandi) four times that ended on (Phase 1 (24 March-14 April)., Phase 2 (15 April-3 May)., Phase 3 (4 May-17 May) & Phase 4 (18 May-31 May). The paper focuses on different aspects of environmental impact due to SARS-CoV-2 in India.

Rina kumari

Hypertension is a high-risk factor for cardiovascular diseases and its prevalence rate is increasing due to risk factors such as unhealthy lifestyles and aging populations. Managing hypertension is crucial to avoid complications such as stroke, heart failure, and kidney failure. In Northern Cyprus, where hypertension is a growing public health concern, pharmacists are increasingly recognized as key players in managing this ongoing condition. This study investigates the impact of pharmacists in controlling hypertension in Northern Cyprus through a survey-based observational approach. Data were collected from 70 hypertension patients engaging with community pharmacists. The results highlight pharmacists’ contributions to patient education, blood pressure monitoring, and medication adherence. Relevant studies in other countries contextualize the findings about the importance of the pharmacist role. An analysis of the data confirms significant improvements in patient outcomes with pharmacist interventions. The survey results provide insights suggesting that overcoming systemic barriers and strengthening collaboration can optimize pharmacists' roles in managing hypertension in Northern Cyprus.

Mediterranean journal of pharmacy and pharmaceutical sciences

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best-performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 Englishto-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature.

Kamal singh

Introduction: Psilocybin mushroom use is well documented in spiritual and religious ceremonies globally. This drug is now the most popular in Europe and the USA. Objective: The objective of this study is to explore the experiences and effects of psilocybin on patients with depression and anxiety. Method: A qualitative study was conducted interviewing ten participants currently taking psilocybin while experiencing depression and/or anxiety. Ethical approval was obtained from the University ethics committee. Participants were recruited via social media and groups are known to have used psilocybin for the treatment of anxiety and/or depression. Participants were informed of study aims and consent was obtained before interviews commenced. Confidentiality was maintained throughout this study. Interviews began with informing participants that psilocybin may be effective in the management of depression. Initially, information around the way treatment with psilocybin was obtained was sought. This was followed by queries around the effects of the drug in terms of experiences both during and after treatment. Finally, participants were asked to outline the positive effects of psilocybin on their lives. Results: The data were thematically coded using Grounded Theory as an underpinning philosophical paradigm. Emerging themes included enhancement of smell, vision, hearing, and taste sensations. Another theme emerging was the experience of being ‘connected with the universe’ while on the drug. Additionally, participants reported a stabilization of mood, an increase in optimism and emotional control, and a healthier emotional connection with others. Most also felt an increase in comfort, peace and calmness. Another theme that emerged centered on the mechanism of action of psilocybin. Participants stated that this substance seemed to ‘make new connections in their brain,’ resulting in new perspectives. Some participants felt this resulted in a calming influence on the mind and body. This aligns with research showing that psilocybin works by changing the thinking and improving information processing. Conclusion: Psilocybin has promising effects on the patients with depression/anxiety even after a single dose. Psilocybin is safe but the administration should be guided by a health professional to yield safe and positive outcomes.

Gwen erlam

The COVID-19 crisis has impacted all dimensions of our lives say it as the public health, the labour system, the social interaction, the political debate, the use of public spaces, the economy, the environment, and last but not the least it has proved to be a major contributor to the cultural value system of the individual living in society. This research paper is to analyse and understand the changes enforced by this pandemic on Indian culture and individual of the society. It also analyses the context of COVID-19 scenario with special reference to Indian culture and Hofstede’s theory of cultural dimension. This research paper is an attempt to emphasize the changes in culture and value system during the COVID-19 pandemic faced by India. India is enriched enough in cultural dimensions to combat COVID-19. The Hofstede’s model analysed in depth also leads to this finding that it also fits well in the present context. Thus, it is hereby summed up that as India is enriched in its cultural values it has posed itself as a fighter for this pandemic

Mamta gaur

Sulfur dioxide, a noxious air pollutant, can cause health and environmental effects, and its emissions should be controlled. Nonthermal plasma is one of the most effective technologies in this area. This study evaluated the efficiency of a packed-bed plasma reactor (PBR) and in-plasma catalysis (IPC) in SO2 removal process which were finally optimized and modeled by the use of the central composite design (CCD) approach. In this study, SO2 was diluted in zero air, and the NiCeMgAl catalyst was selected as the catalyst part of the IPC. The effect of three main factors and their interaction were studied. ANOVA results revealed that the best models for SO2 removal efficiency and energy yielding were the reduced cubic models. According to the results, both PBR and IPC reactors were significantly energy efficient compared with the nonpacked plasma reactor and had high SO2 removal efficiency which was at least twice larger than that of the nonpacked one. Based on the results, the efficiency of IPC was better than in PBR, but its performance decreased over time. However, the PBR had relatively high SO2 removal efficiency and energy efficiency compared to the nonpacked reactor, and its performance remained constant over the studied time. In optimization, the maximum SO2 removal efficiency and energy efficiency were 80.69% and 1.04 gr/kWh, respectively (at 1250 ppm, 2.5 L/min, and 18 kV as the optimum condition) obtained by the IPC system which were 1.5 and 1.24 times greater than PBR, respectively. Finally, the model’s predictions showed good agreement with the experiments.

Niloofar