Upaya Kontra-Terorisme Multi-National Joint Task Force Dalam Kasus Perlawanan Terhadap Boko Haram Tahun 2015-2020

Penelitian ini bertujuan untuk menganalisis upaya Multi-National Joint Task Force dalam kasus perlawanan terhadap Boko Haram selama tahun 2015 hingga tahun 2020 yang berkaitan dengan upaya pemberantasan terhadap Boko Haram. Penelitian ini menggunakan kerangka konseptual empat pilar strategi counter-terrorism versi Uni Eropa sebagai alat analisis yang terdiri dari Prevent, Protect, Pursue dan Respond. Metodologi penelitian yang digunakan adalah penelitian kualitatif dengan pendekatan deskriptif analisis. Penelitian ini menemukan bahwa tindakan Multi-National Joint Task Force yang berkaitan dengan upaya pemberantasan terhadap Boko Haram terlalu dominan pada pilar Pursue dan sangat minim pada pilar Prevent sehingga walaupun Multi-National Joint Task Force melakukan tindakan represif terhadap Boko Haram seperti mengeliminasi beberapa anggota Boko Haram, melakukan penangkapan terhadap beberapa anggota Boko Haram, melakukan pengamanan atau penghancuran logistik Boko Haram dan melakukan pemutusan akses pendanaan Boko Haram yang termasuk dalam pilar Pursue, namun regenerasi Boko Haram tidak berhasil diberantas karena pilar Prevent yang berfokus untuk menghalangi regenerasi suatu kelompok teroris minim upayanya. Kata kunci: MNJTF, Boko Haram, Aksi Teror, Pembunuhan, Nigeri

Efektivitas Model Pembelajaran Guided Inquiry pada Mapel Al-Quran Hadits dalam Meningkatkan Kemampuan Membaca Al-Quran Siswa Kelas VIII A di SMP Muhammadiyah 8 Surakarta Tahun Pelajaran 2018/2019

The background of this study is that there are still 8A grade students who read the Koran less fluently and the results of the Koran's reading achievement are not maximal. So to improve the achievement results of optimizing the Al-Quran Hadith Map with the Guided Inquiry learning model. The formulation of the problem in this study is how to apply the Guided Inquiry Learning Model to the Al-Quran Mapel in Improving the Ability to Read the Quran and Effectively the learning model in the Al-Quran Mapel in Improving the Ability to Read the Quran. The purpose of this study is to describe the application of the Guided Inquiry Learning Model to the Al-Quran Mapel in Improving the Ability to Read the Quran and to describe the effectiveness of the learning model in the Al-Quran in Improving the ability to read the Koran. The type of this research is field research in Muhammadiyah Middle School 8 Surakarta and the approach used in this study is a qualitative approach. The data sources in this study were from interviews with Mr. Arwan Towaf Al Fikri Al Fikri and students named Tanaya Lavetania S, Ayu Nurlita Sari, while the subjects in this study were teachers and students and objects in this study, namely the application of Guided Inquiry and Al Quranic Learning Models and the ability to read the Koran. The technique of collecting data in this study was interviews, observation and documentation. Researchers write data analysis by means of data reduction, data display and data verification. Data analysis is used deductively. The results showed that there was an increase in the ability to read, write, think and independence of students in learning and increased achievement. The results showed that there was an increase in the ability to read, write, think and independence of students in learning as well as the increase in the value of the Al-Quran Hadith from the initial average value of 82 to a value of 86, if presented it had an increase of 1.04%

Machine learning on academic education: Bibliometric studies

The use of Machine Learning exhibits significant promise in facilitating advancements in the field of education. It is vital to conduct a comprehensive review of existing research to ascertain the significance of utilizing Machine Learning as a viable approach to enhance educational advancements. This bibliometric analysis provides a comprehensive overview of the advancements in the application of machine learning techniques within the field of education. This study utilizes publication and citation data from many academic literature sources to elucidate prominent patterns, areas of research emphasis, and scholarly collaborations within this field. The findings of the bibliometric analysis reveal a significant increase in scholarly attention toward the application of machine learning in the field of education during the past several years. The scope of these investigations encompasses a diverse array of subjects, such as personalized learning, predictive analytics, automated evaluation, learning recommendations, and online exam proctoring. The findings of this study also demonstrate a notable rise in the level of collaboration among scholars from many fields, highlighting the significance of interdisciplinary approaches in tackling the intricate challenges associated with the integration of machine learning in education

Gluteal and thigh compartment syndrome after open abdominal aortic aneurysm repair

Although compartment syndrome (CS) can occur in any myofascial compartment, the thigh and buttock are among the least common. CS is characterized by an increase in pressure of a myofascial compartment that results in a reduction of capillary blood flow and myonecrosis. Although >75% of cases of CS occur after long bone fractures, acute CS can also occur from nontraumatic and vascular etiologies. We report a case of gluteal and thigh CS resulting from ischemia–reperfusion injury after abdominal aortic aneurysm repair and left common iliac artery bypass

The Future of Cardiothoracic Surgical Critical Care Medicine as a Medical Science: A Call to Action

Cardiothoracic surgical critical care medicine (CT-CCM) is a medical discipline centered on the perioperative care of diverse groups of patients. With an aging demographic and an increase in burden of chronic diseases the utilization of cardiothoracic surgical critical care units is likely to escalate in the coming decades. Given these projections, it is important to assess the state of cardiothoracic surgical intensive care, to develop goals and objectives for the future, and to identify knowledge gaps in need of scientific inquiry. This two-part review concentrates on CT-CCM as its own subspeciality of critical care and cardiothoracic surgery and provides aspirational goals for its practitioners and scientists. In part one, a list of guiding principles and a call-to-action agenda geared towards growth and promotion of CT-CCM are offered. In part two, an evaluation of selected scientific data is performed, identifying gaps in CT-CCM knowledge, and recommending direction to future scientific endeavors

Low incidence of SARS-CoV-2, risk factors of mortality and the course of illness in the French national cohort of dialysis patients

International audienceThe aim of this study was to estimate the incidence of COVID-19 disease in the French national population of dialysis patients, their course of illness and to identify the risk factors associated with mortality. Our study included all patients on dialysis recorded in the French REIN Registry in April 2020. Clinical characteristics at last follow-up and the evolution of COVID-19 illness severity over time were recorded for diagnosed cases (either suspicious clinical symptoms, characteristic signs on the chest scan or a positive reverse transcription polymerase chain reaction) for SARS-CoV-2. A total of 1,621 infected patients were reported on the REIN registry from March 16th, 2020 to May 4th, 2020. Of these, 344 died. The prevalence of COVID-19 patients varied from less than 1% to 10% between regions. The probability of being a case was higher in males, patients with diabetes, those in need of assistance for transfer or treated at a self-care unit. Dialysis at home was associated with a lower probability of being infected as was being a smoker, a former smoker, having an active malignancy, or peripheral vascular disease. Mortality in diagnosed cases (21%) was associated with the same causes as in the general population. Higher age, hypoalbuminemia and the presence of an ischemic heart disease were statistically independently associated with a higher risk of death. Being treated at a selfcare unit was associated with a lower risk. Thus, our study showed a relatively low frequency of COVID-19 among dialysis patients contrary to what might have been assumed

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

Background Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. Methods We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). Findings In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683–0·717]). Interpretation In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. Funding British Journal of Surgery Society