Effect of Labor Camera on the Duration of the Second Stage Labor in Primipara

Fear and anxiety due to severe labor pains could also lead to prolonged labor. The efforts made to accelerate the second stage labor process are by providing emotional support with the support of a labor camera. The mother is allowed to observe the development state of her baby's head through video on a tablet or laptop screen. Furthermore, the mother's emotional level becomes more provoked and motivated to strain the labor process faster. This study aims to determine the effect of the labor cameras on the second state duration in primiparous. The design of this study was a posttest-only control group design experiment with a total sample of 30 primiparous of the second stage at independent midwife practice in Bengkulu city in November–December 2020. Each group consisted of 15 for treatment (with labor cameras) and 15 for control (without labor cameras)—the assessment of the labor duration by counting the labor time in seconds during the second state. The statistical results using the t test and chi-square test analysis showed that the intervention group's labor duration (1,393.3 seconds) was shorter than the control group's (2,340.6 seconds). The mean difference in the delivery time was 947.3 seconds or 15.7 minutes faster in the intervention group than in the control group. In conclusion, using a labor camera on the labor duration of the second stage in primiparous mothers is an effect of using a labor camera.   PENGARUH KAMERA PERSALINAN TERHADAP DURASI PERSALINAN KALA II PADA PRIMIPARA Rasa takut dan cemas akibat nyeri persalinan yang berat juga dapat menyebabkan partus lama. Salah satu upaya yang dilakukan untuk mempercepat proses kala II persalinan adalah memberikan dukungan emosional dengan bantuan kamera persalinan. Ibu diberi kesempatan untuk melihat perkembangan pengeluaran kepala bayinya melalui video pada layar tablet atau laptop sehingga tingkat emosional ibu menjadi lebih terbangun dan termotivasi untuk mempercepat proses persalinan. Penelitian ini bertujuan mengetahui pengaruh kamera persalinan terhadap durasi persalinan kala II pada primipara. Desain penelitian adalah eksperimen posttest-only control group design dengan jumlah sampel 30 primipara kala II di bidan praktik mandiri Kota Bengkulu pada November–Desember 2020. Tiap-tiap kelompok berjumlah 15 untuk kelompok perlakuan (menggunakan kamera persalinan) dan 15 untuk kontrol (tidak menggunakan kamera persalinan). Penilaian durasi persalinan dengan menghitung detik selama kala II berlangsung. Pengujian statistik menggunakan analisis uji t dan uji chi-square menunjukkan bahwa durasi persalinan kelompok perlakuan (1.393,3 detik) lebih singkat daripada kelompok kontrol (2.340,6 detik). Selisih perbedaan waktu persalinan rerata selama 947,3 detik atau 15,7 menit lebih cepat pada kelompok intervensi dibanding dengan kelompok kontrol. Simpulan, terdapat pengaruh penggunaan kamera persalinan terhadap durasi persalinan kala II pada ibu primipara

Distributed EaaS simulation using TEEs: A case study in the implementation and practical application of an embedded computer cluster

Internet of Things (IoT) devices with limited resources struggle to generate the high-quality entropy required for high-quality randomness. This results in weak cryptographic keys. As keys are a single point of failure in modern cryptography, IoT devices performing cryptographic operations may be susceptible to a variety of attacks. To address this issue, we develop an Entropy as a Service (EaaS) simulation. The purpose of EaaS is to provide IoT devices with high-quality entropy as a service so that they can use it to generate strong keys. Additionally, we utilise Trusted Execution Environments (TEEs) in the simulation. TEE is a secure processor component that provides data protection, integrity, and confidentiality for select applications running on the processor by isolating them from other system processes (including the OS). TEE thereby enhances system security. The EaaS simulation is performed on a computer cluster known as the Magi cluster. Magi cluster is a private computer cluster that has been designed, built, configured, and tested as part of this thesis to meet the requirements of Tampere University's Network and Information Security Group (NISEC). In this thesis, we explain how the Magi cluster is implemented and how it is utilised to conduct a distributed EaaS simulation utilising TEEs.Esineiden internetin (Internet of Things, IoT) laitteilla on tyypillisesti rajallisten resurssien vuoksi haasteita tuottaa tarpeeksi korkealaatuista entropiaa vahvan satunnaisuuden luomiseen. Tämä johtaa heikkoihin salausavaimiin. Koska salausavaimet ovat modernin kryptografian heikoin lenkki, IoT-laitteilla tehtävät kryptografiset operaatiot saattavat olla haavoittuvaisia useita erilaisia hyökkäyksiä vastaan. Ratkaistaksemme tämän ongelman kehitämme simulaation, joka tarjoaa IoT-laitteille vahvaa entropiaa palveluna (Entropy as a Service, EaaS). EaaS-simulaation ideana on jakaa korkealaatuista entropiaa palveluna IoT-laitteille, jotta ne pystyvät luomaan vahvoja salausavaimia. Hyödynnämme simulaatiossa lisäksi luotettuja suoritusympäristöjä (Trusted Execution Environment, TEE). TEE on prosessorilla oleva erillinen komponentti, joka tarjoaa eristetyn ja turvallisen ajoympäristön valituille ohjelmille. TEE:tä hyödyntämällä ajonaikaiselle ohjelmalle voidaan taata datan suojaus, luottamuksellisuus sekä eheys eristämällä se muista järjestelmällä ajetuista ohjelmista (mukaan lukien käyttöjärjestelmä). Näin ollen TEE parantaa järjestelmän tietoturvallisuutta. EaaS-simulaatio toteutetaan Magi-nimisellä tietokoneklusterilla. Magi on Tampereen Yliopiston Network and Information Security Group (NISEC) -tutkimusryhmän oma yksityinen klusteri, joka on suunniteltu, rakennettu, määritelty ja testattu osana tätä diplomityötä. Tässä diplomityössä käymme läpi, kuinka Magi-klusteri on toteutettu ja kuinka sillä toteutetaan hajautettu EaaS-simulaatio hyödyntäen TEE:itä

Frameshift mutations at the C-terminus of HIST1H1E result in a specific DNA hypomethylation signature

BACKGROUND: We previously associated HIST1H1E mutations causing Rahman syndrome with a specific genome-wide methylation pattern. RESULTS: Methylome analysis from peripheral blood samples of six affected subjects led us to identify a specific hypomethylated profile. This "episignature" was enriched for genes involved in neuronal system development and function. A computational classifier yielded full sensitivity and specificity in detecting subjects with Rahman syndrome. Applying this model to a cohort of undiagnosed probands allowed us to reach diagnosis in one subject. CONCLUSIONS: We demonstrate an epigenetic signature in subjects with Rahman syndrome that can be used to reach molecular diagnosis

Друга міжнародна конференція зі сталого майбутнього: екологічні, технологічні, соціальні та економічні питання (ICSF 2021). Кривий Ріг, Україна, 19-21 травня 2021 року

Second International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021). Kryvyi Rih, Ukraine, May 19-21, 2021.Друга міжнародна конференція зі сталого майбутнього: екологічні, технологічні, соціальні та економічні питання (ICSF 2021). Кривий Ріг, Україна, 19-21 травня 2021 року

Abstracts from the 50th European Society of Human Genetics Conference: Posters

International audienc