Optimization of Raw Material Inventory Control CV. Dirga Eggtray Pinrang Using Probabilistic Model with Backorder and Lostsales Condition

This research discusses about the comparison of raw material inventory control CV. Dirga Eggtray Pinrang. It starts with forecasting inventory for the next 12 periods using variations of the time series forecasting method, where the linear regression method provides accurate forecasting results with a Mean Absolute Percentage Error (MAPE) value of 1,9371%. The probabilistic models of inventory control used are the simple probabilistic model, Continuous Review System (CRS) model, and Periodic Review System (PRS) model. The CRS model with backorder condition is a model that provides the minimum cost of Rp. 969.273.706,20 per year compared to another probabilistic model with the largest difference of Rp. 1.291.814,95 per year, with the optimum number of order kg, reorder level kg, and safety stock kg.

Integrating Circulating Tumor DNA Features and Plasma Protein Markers to Detected Early Lymphoid Neoplasm

Introduction The disease burden of lymphoid neoplasm has been rising in China over the last decade. But most patients manifest with advanced stage disease at initial diagnosis, and the prognosis is poor with a 5-year survival rate of 38.3%. Here we reported a novel multivariate cancer risk score (CRS) model which is used to detect early lymphoid neoplasm from the peripheral blood. It incorporates three cancer hallmarks, copy number aberrations (CNA) and fragment size (FS) via shallow whole genome sequencing (sWGS) from cell-free DNA (cfDNA), and a panel of seven tumor protein markers in a single blood draw (10ml). Methods 44 newly diagnosed and untreated stage I-IV lymphoid neoplasm patients and 247 healthy individuals with no cancer diagnosis were enrolled in this study. 10ml peripheral blood was collected from each participant after enrollment. cfDNA was extracted and subjected to sWGS whereas plasma was subjected to measure the levels of 7 PTMs. The cancer risk score (CRS) of a subject was calculated via an established CRS model [1]. Results Firstly, genomic and epigenetic features were explored from cfDNA sWGS results. CNA is a ubiquitous genomic hallmark in a wide spectrum of cancers. In this study, 26 of the 44 (59.1%) lymphoid neoplasm patients had CNA in at least one genomic segment (>5Mb). FS feature of cfDNA bears the correspondence of the epigenetic landscapes of cells that give rise to those cfDNA fragments. When CNA was combined with FS, 29 (65.9%) patients were able to be detected by the CNA+FS classifier. On the other hand, 13 (29.5%) patients were tested positive by PTMs alone, indicating non-DNA molecular surrogates can also serve as cancer biomarkers with acceptable performance. When CNA, FS and PTM were incorporated into a multidimensional and multivariate CRS model, it achieved the best performance allowing 31 (70.0%) lymphoid neoplasm cases to be identified with a positive predictive value (PPV) of 86.1% at 98.0% specificity. The sensitivity of CRS model increases with the advances of disease with a sensitivity of 50.0% in early stage (stage I -Ⅱ) and 90.0% in late stage (stage Ⅲ-Ⅳ). Conclusion In summary, this study provides an efficient and non-invasive method to detect lymphoid neoplasm. Instead of relying only on one dimension of cancer markers, the multidimensional approach which incorporating CNA, fragment size and protein markers is plausible in early detection of lymphoid neoplasm with sufficient accuracy and robustness. Disclosures Zhu: Clinical Laboratories, Shenyou Bio: Current Employment. Li: SeekIn Inc.: Current Employment, Current holder of individual stocks in a privately-held company. Geng: Clinical Laboratories, Shenyou Bio: Current Employment. Chang: Clinical Laboratories, Shenyou Bio: Current Employment. Chen: SeekIn Inc: Current Employment, Current holder of individual stocks in a privately-held company. Mao: SeekIn Inc: Current Employment, Current holder of individual stocks in a privately-held company.

Efficient SMC Protocol Based on Multi-Bit Fully Homomorphic Encryption

Aiming at the problems of large ciphertext size and low efficiency in the current secure multi-party computation (SMC) protocol based on fully homomorphic encryption (FHE), the paper proves that the fully homomorphic encryption scheme that supports multi-bit encryption proposed by Chen Li et al. satisfies the key homomorphism. Based on this scheme and threshold decryption, a three-round, interactive, leveled, secure multi-party computation protocol under the Common Random String (CRS) model is designed. The protocol is proved to be safe under the semi-honest model and the semi-malicious model. From the non-interactive zero-knowledge proof, it can be concluded that the protocol is also safe under the malicious model. Its security can be attributed to the Decisional Learning With Errors (DLWE) and a variant of this problem (some-are-errorless LWE). Compared with the existing secure multi-party computation protocol based on fully homomorphic encryption under the CRS model, the ciphertext size of this protocol is smaller, the efficiency is higher, the storage overhead is smaller, and the overall performance is better than the existing protocol.

ISMN-loaded PLGA-PEG nanoparticles conjugated with anti-Staphylococcus aureus α-toxin inhibit Staphylococcus aureus biofilms in chronic rhinosinusitis

Background: Staphylococcus aureus biofilms were linked to negative postsurgical outcomes of chronic rhinosinusitis (CRS). This study aims to develop a targeted nanoparticle and characterize its bactericidal effects. Methods: The authors prepared ISMN-loaded poly-lactide-co-glycolide acid (PLGA) and polyethylene glycol (PEG) nanoparticles conjugated with anti- S. aureus α-toxin (AA; ISMN-PLGA-PEG-AA), and determined its bactericidal and toxic effects. The antibiofilm propriety of ISMN-PLGA-PEG-AA was further investigated in a sheep CRS model. Results: ISMN-PLGA-PEG-AA had no toxic effect, while ISMN, ISMN-PLGA-PEG and ISMN-PLGA-PEG-AA had significantly anti- S. aureus effects. The blood concentrations and mRNA levels in sinus tissues of IL-4, IL-8 and IFN-γ in the sheep CRS model were significantly low. Conclusion: ISMN-PLGA-PEG-AA can effectively inhibit S. aureus biofilm, and is a promising drug for CRS treatment.

Analisis Efisiensi Perbankan Syariah Pada Masa Pandemi Covid-19 Menggunakan Data Envelopment Analysis (DEA)

This study aims to determine the efficiency of Islamic banking in the face of a pandemic at BRI Syariah, BJB Syariah, BCA Syariah and Bank Syariah Bukopin. This study uses quantitative data using secondary data from the monthly financial reports of Islamic banks for 2020 at BRI Syariah, BJB Syariah, BCA Syariah and Bank Syariah Bukopin. This study uses Data Envelopement Analysis (DEA). The variables in this study use the input variables of capital, assets, labor costs and output variables of musyarakah financing, mudharabah financing and distribution of income. The results showed that some banks initially experienced 100% efficiency and during the pandemic experienced inefficiency or experienced a decrease in efficiency. BRI Syariah must experience a decrease in efficiency (inefficiency) after the pandemic in June, July, August 2020 and November 2020 with the CRS model and the June-August 2020 VRS model. The lowest point for BRI Syariah for the CRS model is 98.70% and for the VRS model it is 99.10%. BJB Syariah must experience a decrease in efficiency (inefficiency) due to the pandemic in April 2020, decreased in the CRS in April 2020 and the VRS Model from August 2020 to November 2020. The lowest point for BJB Syariah for the CRS model is 97.00% and for VRS model at 97.80%. BCA Syariah from April 2020 to September 2020, for CRS and VRS models, it is known that there is a reduction in performance (inefficiency) from the target that should have been achieved. The lowest point for the BCA Syariah for the CRS model is 94.80% and for the VRS model it is at 95.50%. March 2020 to November 2020 Bank Syariah Bukopin CRS and VRS models were ineffective due to the pandemic. Bank Syariah Bukopin's lowest point for the CRS model is at 95.50% and for the VRS model at 95.60%.

Analisis Program Layanan Zakat Digital terhadap Penerimaan Zakat dengan Pendekatan Data Envelopment Analysist (DEA) pada Badan Amil Zakat Nasional

This research aims to determine the level of efficiency of the digital zakat program on the acceptance of BAZNAS Zakat with a method Data Envelopment Analysist (DEA) Approach. The sample of this research are operational costs and zakat receipts for digital zakat of the National Amil Zakat (BAZNAS). This research used an analytical tool of DEA (Data Envelopment Analysis) with variable Constant Return to Scale (CRS) production approach and output oriented. Variable inputs are Zakat funds (I1), Operational Costs (I2), and Digital Zakat Funds (O1). The results of this research on 2016-2018 that digital zakat service program shows the optimal level of efficiency by testing using the Data Envelopment Analysist method with the Constant Return to Scale (CRS) model.

Utjecaj ekoloških čimbenika na rasprostranjenje kranjskog ljiljana (Lilium carniolicum Bernh. ex Koch) u Hrvatskoj

Kranjski ljiljan (Lilium carniolicum Bernh. ex Koch) je trajna zeljasta biljka iz porodice ljiljana (Liliaceae). Raste na livadama i rubovima šuma i planinskih područja istočnih alpa: od Italije do Bosne. Zbog ljepote cvjetova (perigon) u Sloveniji je zakonom zaštićena već od 1947 godine. U Crvenoj knjizi vaskularne flore Republike Hrvatske vodi se u kategoriji osjetljivih (VU) biljaka te je zaštićena vrsta. Zbog velikog potencijala kranjskog ljiljana cilj je bio napraviti model potencijalnog rasprostranjenja s obzirom na ekološke čimbenike na području Hrvatske. Područje istraživanja su gorska i planinska područja Hrvatske, a model je napravljen metodom maksimalne entropije koja se pokazala pouzdanom u usporedbi s drugim metodama ekološkog modeliranja. Podaci o rasprostranjenosti kranjskog ljiljana preuzeti su iz baze podataka Flora Croatica (FCD), dok su klimatske podloge u obliku rasterskih slojeva preuzete iz WorldClim baze podataka koje su usklađene na istu rezoluciju, veličinu i WGS86 (World Geodetic System) koordinatni referentni sustav (CRS). Model je napravljen na temelju 12 klimatskih varijabli koje su prikazane u rasterskom obliku s vrijednostima piksela u rezoluciji 1x1 km. Svakoj točki prisutnosti vrste pridružena je vrijednost piksela svake klimatske varijable. Rezultati pokazuju da varijabla Bio18 (oborine najtoplijeg kvartala) ima statistički značajno najveći utjecaj na pogodnost staništa kranjskog ljiljana s 32,2%.

Measurement of Ministry/Institution Budget Performance Efficiency Using Data Envelopment Analysis (DEA)

Efficiency is one of the tools used by the Government to measure the success of an activity. Based on PMK Number 214/ PMK.02/2017 it is regulated regarding the measurement and Evaluation of Budget Performance for the implementation of Work Plans and Ministries/Institutions Budgets. To measure budget performance achievement based on aspects of implementation 4 (four) variables i.e. budget absorption, output achievements, efficiency, and consistency of budget absorption towards planning, are used. This study aims to measure the efficiency level of Ministries/Institutions budget performance using Data Envelopment Analysis (DEA). However, the variables used are not only based on measurement aspects of implementation according to PMK Number 214/PMK.02/2017 but also the number of satker (satuan Kerja). The approach used in the DEA model is Constant Return to Scale (CRS) model and Variable Return to Scale (VRS) model. This study uses the DEA model approach by comparing the results of the CRS model with VRS model. Based on DEA results, the number of Ministries/Institutions that have efficient scores is less than the number of Ministries/Institutions with inefficient scores. In addition, based on the value of slacks in each Ministries/Institutions, the variables that need to be improved are the coordination among satkers in when they are recording their performance achievements in the SMART application. Other variables that also require improvements are the ministry/agency’s willingness to revise their Disbursement Plan (RPD) after each budget revision and the speed at which they spend their budget once DIPA is stipulated.