bluuebunny/crossref_metadata_2025_split huggingface dataset:
​Biochemical and Physicochemical Characteristics in Different Skeletal Muscles of Sheep Hind Limb
Authors: Kapase Gangadhar , Kulkarni Shrikant , Mohan Kiran , Kalmath Gurubasayya Panchaxarayya , Math Kartikesh Sidramayya 
Published: August 2021

Background: High variation in meat quality has been reported between animals and within muscles of same animals. An understanding of these variations is a pivotal step to design strategies for better utilization of such meat while producing high quality meat to consumers. The current study was aimed to unravel biochemical and physico-chemical profile of sheep hind limb. Methods: The sheep hind limb was procured from traditionally slaughtered sheep immediately after exsanguination. The Vastus lateralis (VL), Gluteo biceps femoris (GBF), Gluteomedius (GM), Longissimus thoracis et lumborum (LTL), Psoas major (PM) and Semitendinosus (ST) muscles were separated from hot boned carcass of sheep. Each hot boned muscle was cut and analysed for biochemical and physico-chemical characteristics. Result: There was significant (p less than 0.05) variation in water holding capacity, protein extractability (Sarcoplasmic, myofibrillar and total), collagen content, collagen solubility and instrumental colour value among different skeletal muscles studied. Non-significant (p greater than 0.05) variations were found in parameters like pH, drip loss, myofibrillar fragmentation index, muscle fibre diameter and Warner Bratzler shear force values. The Gluteo biceps femoris muscle was found to have higher myoglobin; myofibrillar fragmentation index and Warner Bratzler shear force values with lowest protein extractability values. The collagen content in the Gluteo biceps femoris was significantly (p less than 0.05) higher with lowest collagen solubility (15.32%) as compared to other muscles.
Perbedaan Hasil Belajar menggunakan Model Pembelajaran Guided Inquiry dan Guided Discovery di Kelas XI MIPA SMAN 6 Banjarmasin
Authors: Liono Annge Rani , Arifuddin M , Mahardika Andi Ichsan 
Published: August 2021

Model pembelajaran yang digunakan di sekolah adalah model pembelajaran guided discovery namun hasil belajar yang diperoleh peserta didik masih rendah. Tujuan penelitian untuk mendeskripsikan ada atau tidaknya perbedaan hasil belajar yang signifikan menggunakan model pembelajaran guided inquiry dan guided discovery di kelas XI MIPA SMAN 6 Banjarmasin. Penelitian ini merupakan penelitian eksperimental dengan desain penelitian randomized pretest-posttest design. Pengambilan sampel menggunakan teknik cluster random sampling. Sebelum sampel diambil terlebih dahulu melakukan pengujian normalitas dan homogenitas pada hasil ulangan harian. Berdasarkan teknik tersebut diperoleh sampel, yaitu kelas XI MIPA 1 sebagai kelas kontrol dan XI MIPA 2 sebagai kelas eksperimen. Data penelitian diperoleh dari tes hasil belajar dalam bentuk soal uraian, yaitu pretest dan posttest. Data dianalisis menggunakan uji independent sample t-test. Nilai rata-rata posttest yang diperoleh kelas eksperimen lebih tinggi dibandingkan nilai rata-rata kelas kontrol. Hasil uji statistik menunjukkan bahwa nilai signifikansi yang lebih kecil dari pada taraf signifikansi a = 0,05. Hal ini menunjukkan bahwa terdapat perbedaan hasil belajar yang signifikan menggunakan model pembelajaran guided inquiry dan guided discovery di kelas XI MIPA SMAN 6 Banjarmasin. Dengan demikian model guided inquiry dapat direkomendasikan untuk digunakan sebagai alternatif untuk meningkatkan hasil belajar siswa. This research based on the low student learning outcomes seen from the results of daily tests. The study aims to determine whether or not there are significant differences in learning outcomes using the guided inquiry learning model and guided discovery in the XI MIPA class of SMAN 6 Banjarmasin. This research is experimental research with a randomized pretest-posttest design research design. The sample was taken by using the random cluster sampling technique. Before the samples were taken, they first tested the normality and homogeneity of the daily test results. Based on this technique, samples were obtained, namely class XI MIPA 1 as the control class and XI MIPA 2 as the experimental class. The research data were obtained from learning outcomes tests in description questions, namely pretest and posttest. Data were analyzed using an independent sample t-test. The average value of the posttest obtained by the experimental class is higher than the average value of the control class. Statistical test results show that the significance value is smaller than the significance level = 0.05. This shows significant differences in learning outcomes using guided inquiry and guided discovery learning models in class XI MIPA SMAN 6 Banjarmasin. Thus the guided inquiry model can be recommended to be used as an alternative to improve student learning outcomes.
Profile of Diabetic Nephropathy in Southern Morocco
Authors: BENBRIA SANAA , BAHADI Abdelaali , ZORKANI Youssef , AZIZI MOUNIA , zajjari yassir , Montasser Dina , Elkabbaj Driss 
Published: August 2021

Abstract
Diabetic nephropathy (DN) has a steadily increasing prevalence, particularly because of the increase in sedentary lifestyle and obesity. It is defined as the persistent presence of albuminuria in a diabetic patient and requires early management to prevent progression to end-stage renal failure. The purpose of this work is to describe the epidemiologic profile and the progression of DN for the first time in a southern Moroccan region: Guelmim Oued noun - Moroccan Sahara.Patients and methods: It is a retrospective study conducted at the 5th military hospital in Guelmim and including all diabetic patients seen in nephrology consultation between January 2015 and December 2018. We collected the following parameters of our patients: demographics, comorbidities, prescribed treatments and biological data (Albuminuria, renal function and glycated hemoglobin) during their nephrology follow-up.Résults: During the study period 267 diabetic patients were included among 1042 patients, which represented 25.9% of the nephrology consultation activity. Their average age was 64.3 years with a slight male predominance (60%) and only two patients had type 1 diabetes. At the first nephrology consultation the average duration of diabetes was 14.6 years, 61 (22.8%) patients were on diet alone, 95 (35.5%) on oral antidiabetic drugs (OADs), 94 (35.2%) on insulin and 35 (13%) on OAD and insulin. Half the patients were hypertensive and 107 (40%) already had a cardiovascular complication (arterial disease, coronary artery disease or stroke). The average initial albuminuria was 388 mg/24h and the average glomerular filtration rate (GFR) was 67 ml/min ; 115 (43%) patients being in renal failure. 46 (17%) patients had no renal function assessment during their previous follow-up and only 139 (52%) were on renin-angiotensin system inhibitors (RASIs). After 12-month-follow-up in nephrology, the average GFR was 70 ml/min and 64 ml /min after two years.Conclusion: Diabetic nephropathy accounts for at least a quarter of nephrology consultation activity in the region of Guelmim Oued Noun. It is characterized in this context by the delay in treatment using renin angiotensin system inhibitors and late nephrology referral hence the need to strengthen preventive strategies in this region especially continuous training.
Dimethylsulfoniopropionate and dimethylsulfoxide in Posidonia oceanica
Authors: Richir Jonathan , Champenois Willy , de Fouw Jimmy , Borges Alberto V. 
Published: August 2021

Abstract
The present work aims at determining the natural variability of dimethylsulfoniopropionate (DMSP) and dimethylsulfoxide (DMSO) contents in the seagrass Posidonia oceanica, which is the largest producer of these molecules reported to data among coastal autotrophs. Samples were collected during a period of 3.5 years in the pristine Revellata Bay (Calvi, northwestern Corsica, France). The DMSP content ranged from 25 to 265 µmol.gfw−1; DMSO from 1.0 to 13.9 µmol.gfw−1. The dynamics of the two molecules were closely linked, the DMSO content being equivalent to 3.5 % of the DMSP content, all leaf samples considered (n = 423 samples and 414 DMSP(O) data pairs). The annual growth cycle of the seagrass diluted the initial stocks of the two molecules. Temperature indirectly affected molecule content dynamics through their direct effect on the seagrass productivity and biomass. Inter-annual variations in DMSP(O) content in relation to shallow water temperature might further indicate that DMSP(O) could have been involved in the physiological response of P. oceanica to heat-stress. Finally, middle-aged leaf tissues with an organosulfur molecule content similar to the average value calculated for the seagrass leaf bundle appeared to be the best choice of sample material to study DMSP and DMSO in that species. More research is needed to elucidate the biosynthetic pathways of these molecules in seagrasses, the evolutionary reasons for such a high production in P. oceanica and the physiological functions they play.
SLC6A14 impacts cystic fibrosis lung disease severity via mTOR and epithelial repair modulation
Authors: Mercier Julia , Calmel Claire , Mésinèle Julie , Sutanto Erika , Merabtene Fatiha , Longchampt Elisabeth , Sage Edouard , Kicic Anthony , Boëlle Pierre-Yves , Corvol Harriet , Ruffin Manon , Guillot Loic 
Published: August 2021

Abstract
Cystic fibrosis (CF), due to variants in CFTR gene, is associated with chronic infection/inflammation responsible for airway epithelium alteration and lung function decline. Modifier genes induce phenotype variability between people with CF (pwCF) carrying the same CFTR variants. Among these, the gene encoding for the amino acid transporter SLC6A14 has been associated with lung disease severity and age of primary airway infection by the bacteria Pseudomonas aeruginosa. In this study, we investigated whether the single nucleotide polymorphism (SNP) rs3788766, located within SLC6A14 promoter, is associated with lung disease severity in a large French cohort of pwCF. We also studied the consequences of this SNP on SLC6A14 promoter activity using a luciferase reporter and the role of SLC6A14 in mammalian target of rapamycin (mTOR) signaling pathway and airway epithelial repair. We confirm that SLC6A14 SNP rs3788766 is associated with lung disease severity in pwCF (p=0.020; n=3,257, pancreatic insufficient, aged 6 to 40 years old), with the minor allele G being deleterious. In bronchial epithelial cell lines deficient for CFTR, SLC6A14 promoter activity is reduced in the presence of the rs3788766 G allele. SLC6A14 inhibition with a specific pharmacological blocker reduced 3H-arginine transport, mTOR phosphorylation and bronchial epithelial repair rates in wound healing assays. To conclude, our study highlights that SLC6A14 genotype might affect lung disease severity of people with cystic fibrosis via mTOR and epithelial repair mechanisms modulation in the lung.
Dental pulp stem cells as a therapy for congenital entero-neuropathy
Authors: Yoshimaru Koichiro , Yamaza Takayoshi , Kajioka Shunichi , Sonoda Soichiro , Yanagi Yusuke , Matsuura Toshiharu , Yoshizumi Junko , Oda Yoshinao , Iwata Naoko , Takai Chiho , Nakayama Shinsuke , Taguchi Tomoaki 
Published: August 2021

Abstract
Hirschsprung’s disease (HSCR) and its allied disorders are congenital entero-neuropathies with life-long implications in many cases. Here we report the effects of intravenous transplantation of cultured dental pulp stem cells derived from deciduous teeth (dDPSCs) into ‘Japanese fancy-1’ (JF1) mice with entero-neuropathy caused by Ednrb mutation. Intravenously injected dDPSCs (multipotent neural crest cells with low immunogenicity) migrated to affected regions of the intestine through interactions between stromal cell-derived factor-1α and C-X-C chemokine receptor type-4. Notably, transplanted dDPSCs differentiated into both enteric neurons and pacemaker interstitial cells to correct abnormalities in the electrical and mechanical activities of the proximal colon. dDPSC transplantation also led to repair of the small intestinal mucosa, changes in the gastrointestinal microbiota, improvements in nutritional status and prolongation of survival. We anticipate that dDPSC transplantation could be developed into a novel cell-based therapy for HSCR and its allied disorders.
Earthquake-hit Population Spatial Evaluation Based on Correlation Characteristics and BP Neural Network
Authors: Zhou Hanxu , che ailan , Shuai Xianghua 
Published: August 2021

Abstract
Rapid spatial evaluation of earthquake-hit population after earthquake occurrence is required in the disaster emergency rescue management, due to its significant support for decreasing casualties and property losses. The correlation between earthquake-hit population and influencing factors are analyzed using the data from the 2013 Ms7.0 Lushan earthquake. Ten influencing factors including elevation, slope angle, population density, per capita GDP, distance to fault, distance to river, NDVI, PGA, PGV and distance to epicenter, are classified into environmental factors and seismic factors. The correlation analysis reveals characteristics that there is a nonlinear relationship between the earthquake-hit population and various factors, and per capita GDP and PGA factor have a stronger correlation with earthquake-hit population. Moreover, the spatial variability of influencing factors would affect the distribution of earthquake-hit population. The earthquake-hit population is evaluated using BP neural network with optimizing training samples based on the spatial characteristics of per capita GDP and PGA factors. Different number of sample points are generated in areas with different value intervals of influencing factors, instead of the random distribution of sample points. The minimum value of RMSE (Root Mean Square Error) from testing set is 18 people/km2, showing good accuracy in the spatial evaluation of earthquake-hit population. Meanwhile, the optimizing samples considering spatial characteristics could improve the convergence speed and generalization capability comparing to random samples. The trained network was generalized to the 2017 Ms7.0 Jiuzhaigou earthquake to verify the prediction accuracy. The mean absolute error of earthquake-hit population evaluation results in different counties under the Jiuzhaigou earthquake were 18357 people and 26121 people for optimizing samples and random samples, respectively. The evaluation results indicate that BP neural network considering the correlation characteristics of factors has the capability to evaluate the earthquake-hit population in space, providing more detailed information for emergency service and rescue operation.
Bifurcation Analysis and Nonlinear Dynamics of a Capacitive Energy Harvester in the Vicinity of the Primary and Secondary Resonances
Authors: Azizi Saber , Madinei Hadi , Taghipour Javad , Oukad Hassen M. 
Published: August 2021

Abstract
The impetus of the present study is to examine the effect of nonlinearity on the efficiency enhancement of a capacitive energy harvester. The model consists of a cantilever microbeam underneath which there is an electret layer with a surface voltage, which is responsible for the driving energy. The packaged device is exposed to unwanted harmonic mechanical excitation. The microbeam undergoes mechanical vibration and accordingly the energy is harvested throughout the output circuit. The dynamic formulation accounts for nonlinear curvature, inertia, and nonlinear electrostatic force. The efficiency of the device in the vicinity of the primary and super-harmonic resonances is examined and accordingly the output power is evaluated. Bifurcation analysis is carried out on the dynamics of the system by detecting the bifurcations in the frequency domain and diagnosing their types. One of the challenging issues in the design and analysis of energy harvesting devices is to broaden the bandwidth so that more frequencies are accommodated within the amplification region. In this study the effect of the nonlinearity on the bandwidth broadening, as well as efficiency improvement of the device, is studied.
Hybrid Flow Shop with Limited Transportation Scheduling Problem: A Comparison Between Genetics Algorithm, and a Novel Recursive Local Search Heuristic
Authors: Amirteimoori Arash , Kia Reza , Tavakkoli-Moghaddam Reza 
Published: August 2021

Abstract
In this paper, concurrent scheduling of jobs and transportation in a hybrid flow shop system is studied, where multiple jobs, transporters, and stages with parallel unrelated machines are considered. In addition to the mentioned technical features, jobs are able to omit one or more stages, and may not be executable by all the machines, and similarly, transportable by all the transporters. Unlike most studies in the literature, the transport resource is finite and needs to be simultaneously scheduled with the jobs. Initially, a new mixed integer linear programming (MILP) model is proposed to minimize the makespan. Then, a novel Recursive Local Search Heuristic (RLSH) is proposed to tackle the large-sized instances, which otherwise could not be solved via MILP solver (Gurobi) in reasonable time. RLSH is also compared against Genetics Algorithm (GA) on a set of numerical examples generated from the uniform distribution. As the computational results demonstrate, it is concluded that RLSH is extremely efficacious dealing with the problem and outperforms GA in the objective value quality. Finally, using two well-known statistical tests: Wald and analysis of variance(ANOVA), we assess the performance of the suggested approaches.
Fracture Toughness As An Alternative Approach To Quantify The Ageing of Insulation Paper In Oil
Authors: Fernández-Diego Cristina , Carrascal Isidro Alfonso , Ortiz Alfredo , Fernández Inmaculada , Ferreño Diego , Diego Soraya , Casado José Antonio 
Published: August 2021

Abstract
Oil-immersed transformers use paper and oil as insulation system which degrades slowly during the operation of these machines. The fast-developing electric power industry demands superior performance of electrical insulation materials which has led to the development of new materials whose measurement of the degree of polymerization has found some practical difficulties. Moreover, the increasing interest in synthetic dielectric materials replacing cellulose materials requires the use of alternative methods to the degree of polymerization to quantify the degradation of insulation solids over time. In this sense, this paper proposes the possibility of analyzing paper degradation through fracture toughness. An accelerated thermal ageing of Kraft paper in mineral oil was carried out at 130ºC during different periods of time, to obtain information on the kinetics of the ageing degradation of the paper. Double-edged notched specimens were tested in tension to study their fracture toughness. The evolution of the load-displacement curves obtained for different ageing times at the ageing temperature of 130°C was utilized to the determination of the stress intensity factor. Furthermore, different kinetic models based on this stress intensity factor were applied to relate its evolution over time as a function of the temperature. Finally, the correlation between the DP and stress intensity factor, which depends on the fiber angle, was also defined.
Does Conventional Specimen Radiography After Neoadjuvant Chemotherapy of Breast Cancer Help To Reduce The Rate of Second Surgeries?
Authors: Schaefgen Benedikt , Funk Annika , Sinn Peter , Bruckner Thomas , Andreu Christina Gomez , Harcos Aba , Stieber Anne , Haller Annabelle , Nees Juliane , Togawa Riku , Pfob André , Hennigs André , Hederer Johanna , Riedel Fabian , Fastner Sarah , Sohn Christof , Heil Joerg , Golatta Michael 
Published: August 2021

Abstract
PurposeThis is the first study to systematically evaluate the diagnostic accuracy of intraoperative specimen radiography on margin level and its potential to reduce second surgeries in patients treated with neoadjuvant chemotherapy. MethodsThis retrospective study included 174 cases receiving breast conserving surgery (BCS) after neoadjuvant chemotherapy (NACT) of primary breast cancer. Conventional specimen radiography (CSR) was performed to assess potential margin infiltration of the target lesion and recommend an intraoperative re-excision of any radiologically positive margin. The histological workup of the specimen served as gold standard for the evaluation of the accuracy of CSR and the potential reduction of second surgeries by CSR-guided re-excisions. A subgroup analysis was performed for patients with and without clinical complete response. Results 1044 margins were assessed. Of 47 (4.5%) histopathological positive margins, CSR identified 9 correctly (true positive). 38 infiltrated margins were missed (false negative). This resulted in a sensitivity of 19.2%, a specificity of 89.2%, a PPV of 7.7% and a NPV of 95.9%. The rate of secondary procedures was reduced from 23 to 16 with a number needed to treat (NNT) of CSR guided intraoperative re-excisions of 25. In the subgroup of patients with cCR, the prevalence of positive margins was 10/510 (2.0%), PPV was 1.9% and the NNT was 85. ConclusionPositive margins after NACT are rare and CSR has only a low sensitivity to detect them. Thus, the rate of secondary surgeries cannot be significantly reduced by recommending targeted re-excisions, especially in cases with cCR.
Study on the Susceptibility of Lncrna PCAT1 Snps and Breast Cancer Risk in the Chinese Population
Authors: Xu Linping , Wang Yanli , Shi Ziang , Long JianPing , Sun Qiuyu , Jiang Xiaoru , Xu Kedi , Zou Yuanlin , Wang Kaijuan , Song Chunhua 
Published: August 2021

Abstract
The purpose of this study is to explore the relationship between PCAT1-SNPs and breast cancer (BC) susceptibility. Logistic regression analysis was applied to determine the association between PCAT1-SNPs and BC risk. The relative expression of PCAT1 in different genotypes was detected by qRT-PCR. The binding between the genotype of C/T at rs4473999 locus and miR-149-5p was confirmed by dual luciferase gene reporter assays. The proliferation, migration and invasion of BC cells with dysregulated expression of miR-149-5p was evaluated by CCK8, Scratch and Transwell assay, respectively. Logistic regression analysis revealed PCAT1-SNPs was related to the susceptibility of BC that rs117117537 (OR:2.413, 95%CI: 1.057–5.508) and rs4473999 (OR:2.137 95%CI: 1.065–4.286) were risk factors of BC when the menopausal age was ≥ 50; The haplotype Grs1551514Trs1551513Crs4473999Crs9656964Trs17762938Crs7823297Trs785003Trs117117537 may increase the risk of BC (OR:1.614 95%CI: 1.116–2.333), and there was an association between genes and reproductive factors (OR:2.487 95%CI: 1.929–3.206). Preliminary functional studies demonstrated that PCAT1 interacted with miR-149-5p when rs4473999 carried wild type C; In addition, the dysregulated enrichment of miR-149-5p may affect the proliferation, invasion and migration of BC cells. Our study shows that PCAT1 gene polymorphism is related to BC susceptibility, PCAT1-rs4473999 C/T genotype may affect the occurence of BC by modulating the interactions with miR-149-5p.