Resident Recovery Research Articles

Transportation Resilience Modeling and Bridge Reconstruction Planning Based on Time-Evolving Travel Demand during Post-Earthquake Recovery Period

After major earthquakes, communities may experience time-evolving population in terms of size and distribution, and varying travel demands, along with the displacement and recovery of residents caused by the damage and restoration of dwelling units. Community transportation can be significantly affected if the changes in population size and distribution are considerable. As a result, the post-earthquake infrastructure reconstruction process is essentially like urban replanning to meet the realistic traffic needs of the remaining and recovering residents and further maximize the sustainability of the community. To fill the gap in existing studies that considered the travel demand as fixed during the long-term recovery stage, it is important to investigate the effects of time-evolving travel demand on transportation resilience modeling and bridge reconstruction planning during the post-earthquake recovery period. A new methodology is proposed to analyze such impact by assessing the time-dependent resilience performance of transportation networks during the post-earthquake recovery stage. Traffic efficiency and safety are the two resilience performance indicators used to evaluate the transportation network. Post-earthquake infrastructure restoration planning is conducted using a heuristic algorithm based on the time-dependent resilience performance indicator. A demonstrative case study is carried out at Shelby County, Tennessee.

Research on Inventory Management of Garment Enterprises

The economic recovery after the epidemic is very slow, the recovery of residents' consumption willingness and consumption ability is hindered, and clothing consumption as an optional consumption has been significantly affected. In this paper, the case analysis method is used to analyze the inventory of Heilan Home. The research finds that there are problems of high inventory balance and low inventory turnover in Heilan Home, and the deficiencies in business model, research and development investment, sales channels and too fast expansion are the causes of the problems. Further, the paper puts forward countermeasures and suggestions such as doing a good job in market research, increasing investment in product research and development, strengthening online sales, and keeping close relationship with franchisees. In the case of increasingly fierce competition in the garment industry, this has certain reference significance for reducing the inventory pressure of the garment industry and enhancing the ability of enterprises to resist risks.

Membangkitkan kesadaran beragama resident/clien dalam proses rehabilitasi di Yayasan Rumah Ummi di Kecamatan Medan Sunggal Kota Medan

Penyalahgunaan dan peredaran Narkoba di Kota Medan akhir-akhir sangat memprihatinkan, hampir semua kalangan adalah merupakan sasaran, terutama remaja dan anak muda, Narkoba termasuk kejahatan yang luar biasa (ekstra ordinary crime) yang sangat merusak daripada fisik dan mental dari pada generasi penerus bangsa tersebut. Oleh karena itu diperlukan pusat rehabilitasi yang memenuhi standar. Rehabilitasi merupakan upaya memulihkan dan mengembalikan kondisi korban dan penyalah gunaan narkoba agar kembali sehat secara fisik, psikologik, sosial dan spiritual. Selama ini kegiatan spiritual Pusat rehabilitasi Rumah Ummi masih belum optimal. Metode Kegiatan antara lain: Kegiatan ceramah,pengajian dan dilanjutkan dengan kegiatan praktek ibadah yang langsung dibimbing oleh salah satu dosen Tim Program Kemitraan Stimulus (PKMS) UMN Al Washliyah Medan Dosen Pendidikan Agama Islam yang juga merupakan ustad. Hasil dari Program Kegiatan ini kepada Clien/Pasien yang Direhabilitasi menjadi kondisi yang sehat dan mampu kembali berfungsi secara normal dalam kehidupan sehari-hari. Dan tidak kembali lagi menggunakan Narkoba tersebut.

Predicting Functional Decline and Recovery for Residents in Veterans Affairs Nursing Homes.

This article describes methods and accuracy of predicting change in activities of daily living (ADLs) for nursing home patients following hospitalization. Electronic Health Record data for 5,595 residents of Veterans Affairs' (VAs') Community Living Centers (CLCs) aged 70 years and older were analyzed within the VA Informatics and Computing Infrastructure. Data included diagnoses from 7,106 inpatient records, 21,318 functional status evaluations, and 69,140 inpatient diagnoses. The Barthel Index extracted from CLC's Minimum Data Set was used to assess ADLs loss and recovery. Patients' diagnoses on hospital admission, ADL status prior to hospitalization, age, and gender were used alone or in combination to predict ADL loss/gain following hospitalization. Area under the Receiver-Operator Curve (AUC) was used to report accuracy of predictions in short (14 days) and long-term (15-365 days) follow-up post-hospitalization. Admissions fell into 7 distinct patterns of recovery and loss: early recovery 19%, delayed recovery 9%, delayed recovery after temporary decline 9%, early decline 29%, delayed decline 10%, delayed decline after temporary recovery 6%, and no change 18%. Models accurately predicted ADL's 14-day post-hospitalization (AUC for bathing 0.917, bladder 0.842, bowels 0.875, dressing 0.871, eating 0.867, grooming 0.902, toileting 0.882, transfer 0.852, and walking deficits was 0.882). Accuracy declined but remained relatively high when predicting 14-365 days post-hospitalization (AUC ranging from 0.798 to 0.875). Predictive modeling may allow development of more personalized predictions of functional loss and recovery after hospitalization among nursing home patients.