bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH KOMPETENSI DIGITAL DAN LEARNING & DEVELOPMENT TERHADAP PENCAPAIAN TRANSFORMASI DIGITAL PADA DIREKTORAT JENDERAL PENYELENGGARAAN POS DAN INFORMATIKA KEMENTERIAN KOMUNIKASI DAN INFORMATIKA
Authors: Damanhuri Damanhuri , Hartono Rina Susanti 
Published: October 2022

This study aims to find out the direct influence of digital competence, learning and development on the achievement of digital transformation and the joint influence between the two on the achievement of digital transformation. This research is a quantitative descriptive study with a population of employees of the Directorat General of Post and Informatics Operation Ministry Communications and Information. Sampling was carried out using simple random sampling technique. The sample in this study was determined by the non-probability sampling method, while the sampling calculation was calculated using the slovin formula, which amounted to 95 people. Data was collected using observation, questionnaires, and documentation. Test the validity of the instrument using product moment correlation and test the reliability of the instrument using the Cronbach alpha formula.The results showed that: Digital Competence partially has an significant influence on Digital Transformation, Learning and Development partially has a significant effect on Digital Transformation. Digital Competence (X1) and Learning and Development (X2) together have a significant effect towards Digital Transformation (Y), means that the regression model can explain the independent variables as a whole.
PEMILIHAN METODE MATERIAL REQUIREMENT PLANNING PADA PERENCANAAN KEBUTUHAN BAHAN BAKU PROSES PRODUKSI DOMPET
Authors: Muchammad Bagas Efendi  , Andhika Mayasari  , Minto  
Published: October 2022

Abstract

The production process is the core of a manufacturing company's activities. Andi Jaya Group is a home industry engaged in the manufacture of wallets. Having the right amount and time to get raw materials aims to support the smooth production process and avoid shortages and excess of raw materials that can have an impact on costs incurred. The purpose of this study was to determine the amount of raw material each time production so that effectiveness can be achieved using the MRP method of Lot For Lot Technique and Economic Order Quantity and knowing the amount of production scheduling for each period and knowing the total cost of raw material inventory production using the MRP method. Forecasting is an estimate of the level of demand for product needs over the next several periods using the linear regression method, moving average (MA), exponential smoothing to find out the estimated product demand. Material requirements planning is a method to determine the production process planning and raw material requirements in each component and determine the lead time for orders. From the analysis of data management carried out by the forecasting method, 50912 units were selected for the next 12 periods. The need for raw materials according to the MRP method The lot for lot (LFL) technique is the raw material for butega, lavender and 0.3 mm mica because the raw materials are always available and the total price of the wallet product is Rp. 18. 600,000. while the raw materials that use the EOQ calculation are zippers and sewing thread because they often run out of stock/delays in raw materials and the total price of the product for 12 periods of the wallet is Rp. 176,280,359
Student Entrepreneurship Cluster as The Implementation Response of University Entrepreneurship Program (A Case Study of Engineering Faculty Students of Unhasy Tebuireng)
Authors: Sulung Rahmawan Wira Ghani  , Meriana Wahyu Nugroho  
Published: October 2022

Abstract
This research was carried out to identify the characteristics of entrepreneurship carried out by students of the engineering faculty of Unhasy. The elements of cluster grouping are based on the entrepreneurial activities before becoming a student of the engineering faculty. This is to identify whether the activities have changed or not in terms of continued entrepreneurship after becoming a student at Unhasy. The processing of the data obtained shows that the program Entrepreneurship in the engineering faculty is identified based on: the alignment of the entrepreneurship program of Unhasy with implementation, the implementation of entrepreneurial practices, the entrepreneurship infrastructure that they have and want, the way to learn entrepreneurship, and the response to implementation of the Unhasy entrepreneurship program. From these variables, it shows in general that students of Unhasy's engineering faculty has been running entrepreneurship and survived until now at around 39%.
PENGURANGAN BULLWHIP EFFECT DALAM RANTAI PASOK DENGAN METODE COLLABORATIVE PLANNING, FORECASTING AND REPLENISHMENT (CPFR
Authors: Atika Ayu Derari  , Andhika Mayasari  , Nur Muflihah  , Sumarsono  
Published: October 2022

Abstract
The supply chain is a network system of several interconnected organizations with the same goal of distributing production goods and services to their customers. PT. Samudera Gemilang Plastindo (PT SGP) is a company engaged in the processing of plastic seeds, one of the products produced is HDPE T-Shirt Bag. The supply chain system studied at PT. SGP consists of a Manufacturing (Vendor) and 3 Sales Offices (SIM Jember, Depo Bali and 3S Bogor) because they often experience inaccuracies in forecasting data which causes the Bullwhip Effect phenomenon or information distortion to meet customer needs. Initially, forecasting was carried out at each level of the supply chain using different forecasting methods and inventory planning was carried out separately and not coordinated with each other. Therefore, we need an equation in choosing a forecasting method to synchronize the forecasting results and the implementation of production in each supply chain actor. This study uses the Collaborative Planning and Replenishment (CPFR) method, which is a method that combines production planning, forecasting and inventory control. The results of testing several forecasting methods, the method chosen is the Winter's Method because it has the smallest error value. Inventory control is done by calculating the optimal lot, namely Economic Order Quantity (EOQ). The results of demand forecasting and determining the optimal lot are used to calculate the value of the Bullwhip Effect that occurs after the use of the CPFR approach in the supply chain at the vendor level (PT SGP) has changed from 1.285 to 0.729, while in the three Sales Offices there has been a change from 1.321 to 0.528 in SIM Jember sales office, 1.266 to 0.602 at Bali Depo sales office, 1.377 to 0.412 at 3S Bogor sales office.
High-intensity interval training combining rowing and cycling efficiently improves insulin sensitivity, body composition and VO2max in men with obesity and type 2 diabetes
Authors: Petersen Maria Houborg , de Almeida Martin Eisemann , Wentorf Emil Kleis , Jensen Kurt , Ørtenblad Niels , Højlund Kurt 
Published: November 2022

AimsNon-weight-bearing high-intensity interval training (HIIT) involving several muscle groups may efficiently improve metabolic health without compromising adherence in obesity and type 2 diabetes. In a non-randomized intervention study, we examined the effect of a novel HIIT-protocol, recruiting both lower and upper body muscles, on insulin sensitivity, measures of metabolic health and adherence in obesity and type 2 diabetes.MethodsIn 15 obese men with type 2 diabetes and age-matched obese (n=15) and lean (n=18) glucose-tolerant men, the effects of 8-weeks supervised HIIT combining rowing and cycling on ergometers (3 sessions/week) were examined by DXA-scan, incremental exercise test and hyperinsulinemic-euglycemic clamp combined with indirect calorimetry.ResultsAt baseline, insulin-stimulated glucose disposal rate (GDR) was ~40% reduced in the diabetic vs the non-diabetic groups (all p&lt;0.01). In response to HIIT, insulin-stimulated GDR increased ~30-40% in all groups (all p&lt;0.01) entirely explained by increased glucose storage. These changes were accompanied by ~8-15% increases in VO2max, (all p&lt;0.01), decreased total fat mass and increased lean body mass in all groups (all p&lt;0.05). There were no correlations between these training adaptations and no group-differences in these responses. HbA1c showed a clinically relevant decrease in men with type 2 diabetes (4±2 mmol/mol; p&lt;0.05). Importantly, adherence was high (&gt;95%) in all groups and no injuries were reported.ConclusionsA novel HIIT-protocol recruiting lower and upper body muscles efficiently improves insulin sensitivity, VO2max and body composition with intact responses in obesity and type 2 diabetes. The high adherence and lack of injuries show that non-weight-bearing HIIT involving several muscle groups is a promising mode of exercise training in obesity and type 2 diabetes.
Comprehensive analysis of differentially expressed miRNAs in mice with kidney injury induced by chronic intermittent hypoxia
Authors: Su Yunan , Li Chaowei , Liu Weifeng , Liu Yibin , Li Liangyi , Chen Qingshi 
Published: November 2022

Background: miRNAs have been reported to participate in various diseases. Nevertheless, the expression patterns of miRNA in obstructive sleep apnea (OSA)-induced kidney injury remain poorly characterized. In the current study, miRNA sequencing (miRNA-seq) was conducted to investigate miRNA expression profiles in a chronic intermittent hypoxia (CIH)-induced renal injury mouse model.Methods: The mouse model of chronic intermittent hypoxia was established. Differentially expressed miRNAs (DEmiRs) were detected using miRNA-seq technology. The sequencing data were subjected to Gene Ontology (GO) functional enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using a bioinformatics approach. RT-qPCR was further used to evaluate the sequencing results. Finally, we created a network for clarifying the relationship between the miRNAs and target genes.Results: In total, nine miRNAs were identified to be upregulated and nine to be downregulated in a mouse model of renal injury induced by chronic intermittent hypoxia. The Kyoto Encyclopedia of Genes and Genomes analyses revealed that the Wnt signaling pathway was involved in the development of chronic intermittent hypoxia-induced renal injury. Subsequently, eight DEmiRs, namely, mmu-miR-486b–3p, mmu-miR-215–5p, mmu-miR-212–3p, mmu-miR-344–3p, mmu-miR-181b-1-3p, mmu-miR-467a–3p, mmu-miR-467 d-3p, and mmu-miR-96–5p, showed a similar trend of expression when verified using RT-qPCR. Finally, five selected DEmiRs were used to construct a miRNA–mRNA network.Conclusion: In conclusion, a total of 18 DEmiRs were identified in the mouse model of chronic intermittent hypoxia-induced renal injury. These findings advance our understanding of the molecular regulatory mechanisms underlying the pathophysiology of obstructive sleep apnea-associated chronic kidney disease.
A New Dual Image Based Reversible Data Hiding Method Using Most Significant Bits and Center Shifting Technique
Authors: Solak Serdar , Tezcan Gökhan 
Published: October 2022

In this article, a new reversible data hiding method using most significant bits and center shifting technique in dual images is proposed. The proposed reversible data hiding method aims to securely hide high-capacity secret data. Instead of directly embedding the secret data, the method calculates new values with (n + 1) bits secret data and the n most significant bits of the cover image pixel values. Thus, it is impossible to extract secret data without obtaining the original cover image. Also, the center shifting process is performed to minimize the mean square error. After this process, the secret data to be hidden in the dual images are in the range [−3×2(n−1)+1, 3×2(n−1)−1]. The pixel values of stego images are obtained by using the secret data in this range value and cover image pixel values. As a result of experimental studies, when the payload is 2.5 bits per pixel (bpp), the peak signal-to-noise ratio value (PSNR), which expresses the visual quality, is above 34 (dB). In addition, the proposed method has proven secure against RS (regular and singular) analysis attacks.
A Soft Label Deep Learning to Assist Breast Cancer Target Therapy and Thyroid Cancer Diagnosis
Authors: Wang Ching-Wei , Lin Kuan-Yu , Lin Yi-Jia , Khalil Muhammad-Adil , Chu Kai-Lin , Chao Tai-Kuang 
Published: October 2022

According to the World Health Organization Report 2022, cancer is the most common cause of death contributing to nearly one out of six deaths worldwide. Early cancer diagnosis and prognosis have become essential in reducing the mortality rate. On the other hand, cancer detection is a challenging task in cancer pathology. Trained pathologists can detect cancer, but their decisions are subjective to high intra- and inter-observer variability, which can lead to poor patient care owing to false-positive and false-negative results. In this study, we present a soft label fully convolutional network (SL-FCN) to assist in breast cancer target therapy and thyroid cancer diagnosis, using four datasets. To aid in breast cancer target therapy, the proposed method automatically segments human epidermal growth factor receptor 2 (HER2) amplification in fluorescence in situ hybridization (FISH) and dual in situ hybridization (DISH) images. To help in thyroid cancer diagnosis, the proposed method automatically segments papillary thyroid carcinoma (PTC) on Papanicolaou-stained fine needle aspiration and thin prep whole slide images (WSIs). In the evaluation of segmentation of HER2 amplification in FISH and DISH images, we compare the proposed method with thirteen deep learning approaches, including U-Net, U-Net with InceptionV5, Ensemble of U-Net with Inception-v4, Inception-Resnet-v2 encoder, and ResNet-34 encoder, SegNet, FCN, modified FCN, YOLOv5, CPN, SOLOv2, BCNet, and DeepLabv3+ with three different backbones, including MobileNet, ResNet, and Xception, on three clinical datasets, including two DISH datasets on two different magnification levels and a FISH dataset. The result on DISH breast dataset 1 shows that the proposed method achieves high accuracy of 87.77 ± 14.97%, recall of 91.20 ± 7.72%, and F1-score of 81.67 ± 17.76%, while, on DISH breast dataset 2, the proposed method achieves high accuracy of 94.64 ± 2.23%, recall of 83.78 ± 6.42%, and F1-score of 85.14 ± 6.61% and, on the FISH breast dataset, the proposed method achieves high accuracy of 93.54 ± 5.24%, recall of 83.52 ± 13.15%, and F1-score of 86.98 ± 9.85%, respectively. Furthermore, the proposed method outperforms most of the benchmark approaches by a significant margin (p <0.001). In evaluation of segmentation of PTC on Papanicolaou-stained WSIs, the proposed method is compared with three deep learning methods, including Modified FCN, U-Net, and SegNet. The experimental result demonstrates that the proposed method achieves high accuracy of 99.99 ± 0.01%, precision of 92.02 ± 16.6%, recall of 90.90 ± 14.25%, and F1-score of 89.82 ± 14.92% and significantly outperforms the baseline methods, including U-Net and FCN (p <0.001). With the high degree of accuracy, precision, and recall, the results show that the proposed method could be used in assisting breast cancer target therapy and thyroid cancer diagnosis with faster evaluation and minimizing human judgment errors.
A Comparison of Off-Chip Differential and LC Input Matching Baluns in a Wideband and Low-Power RF-to-BB Current-Reuse Receiver Front-End
Authors: Abbasi Arash , Nabki Frederic 
Published: October 2022

A wideband and low-power RF-to-baseband (BB) current-reuse receiver (CRR) front-end is proposed, and its performance is verified using two matching networks, one with an LC balun and on-chip biasing inductor, CRR1, and another with a differential balun and without on-chip biasing inductor, CRR2, requiring less area. The transimpedance amplifier (TIA) and low-noise transconductance amplifier (LNTA) share the bias current from a single supply to reduce power consumption. It employs both an active-inductor (AI) and a 1/f noise-cancellation technique to improve the NF and RF bandwidth performance. A passive mixer is utilized for RF to BB conversion, which does not require any DC power and voltage headroom. Both CRR1 and CRR2 are fabricated in TSMC 130 nm CMOS technology on a single die and packaged using a QFN48. CRR1 occupies an active area of 0.54 mm2. From 1 to 1.7 GHz, it achieves a conversion gain of 41.5 dB, a double-sideband (DSB) NF of 6.5 dB, S11<−10 dB, and an IIP3 of −28.2 dBm, while the local-oscillator (LO) frequency is at 1.3 GHz. CRR2 occupies an active area of 0.025 mm2. From 0.2 to 1 GHz, it achieves an average conversion gain of 37 dB, an average DSB NF of 8 dB, and an IIP3 of −21.5 dBm while the LO frequency is at 0.7 GHz. Both CRR1 and CRR2 consume 1.66 mA from a 1.2 V supply voltage.
Molecular Characterization, Expression, Evolutionary Selection, and Biological Activity Analysis of CD68 Gene from Megalobrama amblycephala
Authors: Cui Hujun , Li Hong , Zhang Minying , Li Hongping , Wang Xu , Wang Zirui , Zhai Wei , Chen Xiangning , Cheng Hanliang , Xu Jianhe , Zhao Xiaoheng , Ding Zhujin 
Published: October 2022

CD68 is a highly glycosylated transmembrane glycoprotein that belongs to the lysosome-associated membrane glycoprotein family and is involved in various immune processes. In this study, Megalobrama amblycephala CD68 (MaCD68) was cloned and characterized, and its expression patterns and evolutionary characteristics were analyzed. The coding region of MaCD68 was 987 bp, encoding 328 amino acids, and the predicted protein molecular weight was 34.9 kDa. MaCD68 contained two transmembrane helical structures and 18 predicted N-glycosylation sites. Multiple sequence alignments showed that the MaCD68 protein had high homology with other fish, and their functional sites were also highly conserved. Phylogenetic analysis revealed that MaCD68 and other cypriniformes fish clustered into one branch. Adaptive evolution analysis identified several positively selected sites of teleost CD68 using site and branch-site models, indicating that it was under positive selection pressure during evolution. Quantitative real-time reverse transcription polymerase chain reaction analysis showed that MaCD68 was highly expressed in the head kidney, spleen, and heart. After Aeromonas hydrophila infection, MaCD68 was significantly upregulated in all tested tissues, peaking at 12 h post-infection (hpi) in the kidney and head kidney and at 120 hpi in the liver and spleen, suggesting that MaCD68 participated in the innate immune response of the host against bacterial infection. Immunohistochemical and immunofluorescence analyses also showed that positive signals derived from the MaCD68 protein were further enhanced after bacterial and lipopolysaccharide treatment, which suggested that MaCD68 is involved in the immune response and could be used as a macrophage marker. Biological activity analysis indicated that recombinant MaCD68 (rMaCD68) protein had no agglutination or bactericidal effects on A. hydrophila but did have these effects on Escherichia coli. In conclusion, these results suggest that MaCD68 plays a vital role in the immune response against pathogens, which is helpful in understanding the immune responses and mechanisms of M. amblycephala.
Genome-Wide Identification, Expression and Interaction Analysis of GmSnRK2 and Type A PP2C Genes in Response to Abscisic Acid Treatment and Drought Stress in Soybean Plant
Authors: Shen Xinjie , Nan Hong , Jiang Yuzhuang , Zhou Yujia , Pan Xuejun 
Published: October 2022

As a typical ancient tetraploid, soybean (Glycine max) is an important oil crop species and plays a crucial role in supplying edible oil, plant protein and animal fodder worldwide. As global warming intensifies, the yield of soybean in the field is often strongly restricted by drought stress. SNF1-related protein kinase 2 (SnRK2) and type A protein phosphatase 2C (PP2C-A) family members are core components of the abscisic acid (ABA) signal transduction pathway in plants and have been suggested to play important roles in increasing plant tolerance to drought stress, but genetic information supporting this idea is still lacking in soybean. Here, we cloned the GmSnRK2s and GmPP2C-A family genes from the reference genome of Williams 82 soybean. The results showed that the expression patterns of GmSnRK2s and GmPP2C-As are spatiotemporally distinct. The expression of GmSnRK2s in response to ABA and drought signals is not strictly the same as that of Arabidopsis SnRK2 homologous genes. Moreover, our results indicated that the duplicate pairs of GmSnRK2s and GmPP2C-As have similar expression patterns, cis-elements and relationships. GmSnRK2.2 may have a distinct function in the drought-mediated ABA signaling pathway. Furthermore, the results of yeast two-hybrid (Y2H) assays between GmSnRK2s and GmPP2C-As revealed that GmSnRK2.17, GmSnRK2.18, GmSnRK2.22, GmPP2C5, GmPP2C7, GmPP2C10 and GmPP2C17 may play central roles in the crosstalk among ABA signals in response to drought stress. Furthermore, GmPP2C-As and GmSnRKs were targeted by miRNA and validated by degradome sequencing, which may play multiple roles in the crosstalk between ABA and drought signals and other stress signals. Taken together, these results indicate that GmSnRK2s and GmPP2C-As may play a variety of roles in the drought-mediated ABA signaling pathway.
Additions to The Knowledge of Tubakia (Tubakiaceae, Diaporthales) in China
Authors: Zhu Ya-Quan , Jiang Ning , Dou Zhi-Peng , Xue Han , Piao Chun-Gen , Li Yong 
Published: October 2022

The species of Tubakia (Tubakiaceae, Diaporthales, Sordariomycetes) have often been reported as endophytes and pathogens on woody plants. During the investigation of Tubakia species from Fagaceae trees in China, 46 isolates were obtained from diseased leaves and seeds. The characterization of these isolates was based on the observation of morphological characters, the effect of temperature on mycelial growth rate, as well as the combined genes of ITS, tef1 and tub2. As a result, six species were identified: Tubakia americana, T. cyclobalanopsidis sp. nov., T. dryinoides, T. koreana, T. paradryinoides and T. quercicola sp. nov. Among these, T. koreana and T. paradryinoides were firstly discovered in China. Pathogenicity tests were conducted using the conidial suspension on young, excised leaves for these six species, which showed that they were mildly pathogenic to four Fagacece hosts: C. mollissima, Q. acutissima, Q. aliena var. acutiserrata and Q. variabilis.