Processing of Seismic-While-Drilling Data from the DrillCAM System Acquired with Wireless Geophones, Top-Drive, and Downhole Vibrations Sensors

We present processing details of seismic-while-drilling data recently acquired on one of the onshore wells by a prototype DrillCAM system with wireless geophones, top-drive, and downhole vibration sensors. The general flow follows an established practice and consists of correlation with a drillbit pilot signal, vertical stacking, and pilot deconvolution. This work's novelty is the usage of the memory-based near-bit sensor with a significant time drift reaching 30-40 minutes at the end of each drilling run. A data-driven automatic time alignment procedure is developed to accurately eliminate time drift error by utilizing the top-drive acceleration sensor as a reference. After the alignment, the processing flow can utilize the top-drive or the near-bit pilots similarly. We show each processing step's effect on the final data quality and discuss some implementation details.

CONTEXTUAL STUDY OF FAMILY LAW: RETHINKING DIFFERENTIAL ROLES AND POSITIONS OF WOMEN (INDONESIAN COUNCIL OF ULAMA/MUI) IN KEDIRI CITY FAMILIES IN THE PANDEMIC ERA

This research is an effort to affirm the role and position of women in the family who are no longer on the sub-ordinate line. By carrying out a contextual study based on the rules of fiqh legal provisions depend on the god who follows and taghayyur, al-ahkam bi taghayyur al-azminah wa al-amkinah, the research has a significant point. To ensure the validity of this research, the research data is a scientific research method that can be accounted for. The data is extracted through the triangulation method, namely interviews, observation and documentation. The data results were tested for the validity of the data through triangulation of sources and techniques. After the final data, the findings of the study were obtained. Namely, 1) on the economic aspect of the family, women work in a community by developing micro-enterprises; 2) in the social aspect, women provide counselling, socialisation, both online and offline; 3) in the spiritual aspect, women carry out halaqah on family resilience during the pandemic and socialise the MUI fatwa related to vaccination law; 4) in the education aspect, women provide services, education and education to the wider community in dealing with the Covid-19 pandemic.

Supernova Host Galaxy Association and Photometric Classification of over 10,000 Light Curves from the Zwicky Transient Facility

Here we present a catalog of 12,993 photometrically-classified supernova-like light curves from the Zwicky Transient Facility, along with candidate host galaxy associations. By training a random forest classifier on spectroscopically classified supernovae from the Bright Transient Survey, we achieve an accuracy of 80% across four supernova classes resulting in a final data set of 8208 Type Ia, 2080 Type II, 1985 Type Ib/c, and 720 SLSN. Our work represents a pathfinder effort to supply massive data sets of supernova light curves with value-added information that can be used to enable population-scale modeling of explosion parameters and investigate host galaxy environments.

Pendampingan UMKM Menuju Digitalisasi Marketing Upaya Kebangkitan di Era New Normal

ABSTRAK Pelaksanaan Pengabdian Masyarakat dengan Judul Pendampingan UMKM Menuju Digitalisasi Marketing Upaya Kebangkitan di era new normal (Masyarakat Terdampak Tsunami Anak Gunung Krakatau) di desa Kunjir, Lampung Selatan mempunyai tujuan untuk meningkatkan kompetensi para pelaku UMKM di desa Kunjir Kabupaten Lampung Selatan dalam memanfaatkan teknologi untuk mengembangkan usaha yang mereka miliki agar operasi bisnis relevan dengan perkembangan zaman. Metode pengabdian masyarakat yang digunakan ialah dengan tahapan identifikasi awal (Fase Pra Pendampingan), kemudian dilanjutkan Fase pendampingan (pelatihan dan Pembimbingan) dan yang terakhir ialah Pasca Pendampingan. Berdasarkan pelaksanaan kegiatan pengabdian kepada masyarakat yang telah dilakukan diperoleh hasil bahwa terdapat peningkatan pengetahuan dan keterampilan pelaku UMKM tentang digitalisasi marketing. Kemudian diperoleh data akhir bahwa sebesar 87 % pelaku UMKM di Desa Kunjir Kabupaten Lampung Selatan dapat membuat media pemasaran secara online melalui aplikasi Marketplace di Facebook, Shopee, Bukalapak, dan WhatsApp, namun terdapat 13 % pelaku UMKM belum dapat membuat media pemasaran secara online. Kata Kunci: UMKM; Digitalisasi; Marketing; Lampung Selatan ABSTRACT Implementation of Community Service with the title MSME Assistance Towards Marketing Digitalization Awakening Efforts in the New Normal (Communities Affected by the Tsunami of the Children of Mount Krakatau) in Kunjir village, South Lampung has the aim of increasing the competence of MSME actors in Kunjir village, South Lampung regency in utilizing technology to develop the business they have so that business operations are relevant to the times. The community service method used is the initial identification stage (Pre Mentoring Phase), followed by the Mentoring Phase (training and Guidance), and the last is Post Mentoring. Based on the implementation of community service activities that have been carried out, the results show an increase in the knowledge and skills of MSME actors regarding the digitalization of marketing. Then the final data obtained that 87% of MSME actors in Kunjir Village, South Lampung Regency can create online marketing media through the Marketplace application on Facebook, Shopee, Bukalapak, and WhatsApp, but there are 13% of MSME actors who have not been able to create online marketing media. Keywords: MSM; Digitalization; Marketing; South Lampung

Loneliness Before and During the Covid-19 Pandemic: Associations with Chronic Illnesses and Relationship Quality

While self-reported loneliness generally declines after age 65, the likelihood of experiencing chronic illnesses increases. During the Covid-19 pandemic, social isolation measures have changed the social context of many people. We address three research questions: 1) What is the predictive strength of chronic illnesses, relationship quality, and their interaction on loneliness? 2) Has Covid-19 altered experienced loneliness relative to pre-pandemic? 3) Was loneliness during Covid-19 associated with the number of prior chronic illnesses in 2016? To answer these questions, we have analyzed data from participants in the Health and Retirement Study (HRS) included in the early 2020 release who also completed the 2016 wave (N = 1106). On average, in 2016, these participants were age 74.64 (SD = 6.66) and reported 2.57 (SD = 1.39) chronic illnesses. In 2016, unadjusted multiple regression models revealed that chronic illnesses (β = .38) and relationship quality (β = -.41) were associated with loneliness (R2 = .28). When covariates were added, these values were attenuated but remained statistically significant. In 2020 during the pandemic, 8% of these participants reported they often felt lonely and 26% reported feeling lonelier since the start of the Covid-19 pandemic. People who had more chronic illnesses in 2016 reported feeling lonelier in 2020 as did people whose relationships were poorer quality (p < .05). Further analyses with final data from HRS are needed to confirm these trends. These findings highlight the importance of having longitudinal information to identify individuals at high risk and most likely to benefit from interventions.

Evaluation of Deep Learning Methods in a Dual Prediction Scheme to Reduce Transmission Data in a WSN

One of the most important challenges in Wireless Sensor Networks (WSN) is the extension of the sensors lifetime, which are battery-powered devices, through a reduction in energy consumption. Using data prediction to decrease the amount of transmitted data is one of the approaches to solve this problem. This paper provides a comparison of deep learning methods in a dual prediction scheme to reduce transmission. The structures of the models are presented along with their parameters. A comparison of the models is provided using different performance metrics, together with the percent of points transmitted per threshold, and the errors between the final data received by Base Station (BS) and the measured values. The results show that the model with better performance in the dataset was the model with Attention, saving a considerable amount of data in transmission and still maintaining a good representation of the measured data.

Nail-fold capillaroscopy for the dermatologists

Nail fold is one of the most accessible sites for studying changes in the microcirculation in various microangiopathies. The characterization of changes in microvasculature can provide useful clues towards the diagnosis and prognosis of a disease. The diagnostic utility of nail fold capillaroscopy has improved and expanded over the past couple of decades. Beyond connective tissue diseases, it is now explored for its role in various systemic and dermatological diseases. Incorporation of nail-fold capillaroscopy in the diagnostic criteria of systemic sclerosis has generated interest among dermatologists. The current review is aimed at providing knowledge about nail-fold capillaroscopy to dermatologists. For the purpose of review, a PubMed search was done using the keywords “nail fold capillaries” and “nail fold capillaroscopy”. All the articles were retrieved and classified into reviews and clinical studies of various types. The final data were then analyzed and presented in a narrative fashion.