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  3. 33123

    Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques by Somia Ali, Uzma Jamil, Muhammad Younas, Bushra Zafar, Muhammad Kashif Hanif

    Published 2025-01-01
    “…We used sentence-level classification to categorize sentences including terrorist attacks, national news, sports, entertainment, politics, safety, earthquakes, fraud and corruption, sexual assault, weather, accidents, forces, inflation, murder and death, education, and international news. Deep learning, transformer-based and machine learning classifiers are used for event classification. …”
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  4. 33124

    Factors creating favorable conditions for activating innovative entrepreneurship and startups in post-war Ukraine by Oksana Khymych, Enno Masurel

    Published 2025-01-01
    “…The study identified eight constraining aggregate themes (the consequences of war, policy and regulatory system, market and investment, the ecosystem, passive universities, education and skills, internationalization, and culture) and three enabling aggregate themes (the consequences of war, active universities, and the ecosystem) through the grouping of factors from the second-order code. …”
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  5. 33125

    Indigenous and non-Indigenous people experiencing homelessness and mental illness in two Canadian cities: A retrospective analysis and implications for culturally informed action by Brittany Bingham, Akm Moniruzzaman, Michelle Patterson, Jino Distasio, Jitender Sareen, John O’Neil, Julian M Somers

    Published 2019-04-01
    “…We hypothesised that compared with non-Indigenous people, those who are Indigenous would demonstrate histories of displacement earlier in life, higher rates of trauma and self-medication with alcohol and other substances.Design and setting Retrospective data were collected from a sample recruited through referral from diverse social and health agencies in Winnipeg and Vancouver.Participants Eligibility included being 19 years or older, current mental disorder and homelessness.Measures Data were collected via interviews, using questionnaires, on sociodemographics (eg, age, ethnicity, education), mental illness, substance use, physical health, service use and quality of life. …”
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  6. 33126

    Physicians’ knowledge, attitudes, and beliefs regarding practices of male and female surgical sterilization procedures in Lebanon by Jad Najdi, Alexandre Armache, Elia Abou Chawareb, Nassib Abou Heidar, Marwan Zein, Anthony Fadel, Jimmy Nehme, Bassel Bachir

    Published 2025-01-01
    “…This, coupled with low levels of family planning training and negative perception of patient beliefs may impact attitudes and recommendations. Ongoing education and family planning training is needed to increase awareness among physicians, especially primary care physicians, to allow them to provide more adequate counseling to patients.…”
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    Perencanaan Strategis Sistem Informasi Pada Lembaga Amil Zakat Menggunakan Analisis SWOT Berbasis Lima Faktor Seni Perang Sun Tzu Berdasarkan Anita Cassidy by Ucky Pradestha Novettralita, R. Rizal Isnanto, Catur Edi Widodo

    Published 2023-10-01
    “…Some of the key strategies obtained from this research are the promotion and education of zakat through social media and other online media; providing technology to make it easier for people to pay zakat by creating applications like Mobile Zakat application, Customer Relationship System (CRS); and developing capabilities in utilizing 5G technology and new technologies. …”
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    The invisible enemy: A systematic review and meta-analysis of maternal smokeless tobacco use as a risk factor for low birth weight. by Akanksha Mahajan, Bhawna Gupta, Michael Tong

    Published 2024-01-01
    “…<h4>Implications</h4>The results of this study highlight the need for further preventive public health campaigns to create awareness about detrimental effects of smokeless tobacco on foetal outcomes. Patient education in the primary care setting will aid in promoting smokeless tobacco cessation prior to pregnancy.…”
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    Relationship between Urinary Alzheimer-Associated Neuronal Thread Protein and Apolipoprotein Epsilon 4 Allele in the Cognitively Normal Population by Yuxia Li, Meimei Kang, Can Sheng, Guanqun Chen, Taoran Li, Jun Wang, Yanning Cai, Rong Wang, Ying Han

    Published 2020-01-01
    “…Urinary AD7c-NTP levels were not related to years of education, nature of work, family history of dementia, a history of hypertension, stroke, anemia, or thyroid dysfunction. …”
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    Reference intervals of work ability and productivity loss and their use in patients with inflammatory rheumatic and musculoskeletal diseases by Casper Webers, Sofia Ramiro, Annelies Boonen, Gertjan Wolbink, Elena Nikiphorou, Dafne Capelusnik, Laura Boekel, Wouter Smeets, Roel Braekers

    Published 2025-01-01
    “…The proportion of patients and controls below each percentile curve was compared.Results 413 controls were included; 73% female, with mean age 53 (SD 10) years, 60% had high education, mean work ability was 8.7 (1.6), at-work productivity loss 6.3% (7.2) and overall work productivity loss 11% (25.6).Percentile curves illustrated that work ability and at-work/overall work productivity loss were worse with increasing age. …”
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    The global impact of COVID-19 on tuberculosis: A thematic scoping review, 2020-2023. by Michael H Marco, Sevim Ahmedov, Kenneth G Castro

    Published 2024-01-01
    “…The themes encompassed TB's care cascade, patient-centered care, psychosocial issues, and health services: 1) case-finding and notification (n = 45; 26%); 2) diagnosis and laboratory systems (n = 19; 10.7%) 3) prevention, treatment, and care (n = 22; 12.2%); 4) telemedicine/telehealth (n = 12; 6.8%); 5) social determinants of health (n = 14; 8%); 6) airborne infection prevention and control (n = 8; 4.6%); 7) health system strengthening (n = 22; 13%); 8) mental health (n = 13; 7.4%); 9) stigma (n = 11; 6.3%); and 10) health education (n = 10; 5.7%).<h4>Limitations</h4>Heterogeneity of publications within themes.…”
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